One of the key elements in understanding a technology sector or a competitor’s activities is to measure and detect any significant changes over time that may indicate a declining interest or a new hot emerging area.
But how do we spot the signal from the noise? What constitutes a significant change? This depends on how we measure change which in turn depends on the measure of time we use. In scientific literature, we have limited choice – publication date (but even that is changing with wide availability of electronic pre-prints). In patent literature, publication date provides a measure of when an invention is publicly disclosed, but priority date is perhaps a truer measure of when the invention was made. And is it better to look at individual dates, or use moving windows of time?
This presentation will consider these questions using a case study approach to determine the impacts and effectiveness of the different approaches.
II-SDV 2015 The International Information Conference on Search, Data Mining a...Dr. Haxel Consult
he II-SDV meeting takes place in Nice in April 2016 for an intensive two days. Venue is the Hotel Plaza in central Nice. The meeting provides an international forum for those in the field of advanced search applications, data and text mining, and visualization technology. The primary focus is on tools for intelligence and the meeting examines the requirements of specialists in scientific and technical information.
The meeting will be of interest to those who wish to update themselves and keep in touch with the leading edge of information search and analysis technologies; it features approximately 22 speakers for the two days. There will be an adjacent, focused exhibition to complement the conference programme.
II-SDV 2016 Irene Kitsara - Patent Landscape Reports and Other WIPO Activitie...Dr. Haxel Consult
WIPO started work in the area of patent analytics in 2010 with a Development Agenda project on “Developing Tools for Access to Patent Information” which resulted in the production of a series of Patent Landscape Reports (WIPO’s patent landscape reports can be found here). These reports, prepared in cooperation with various UN Agencies, non-governmental organizations, research institutes and national IP Offices, analyze patent activity in various topics in the areas of public health, food and agriculture, environment and energy, and disabilities. The key findings are often summarized in an infographic.
In 2013 WIPO started working also on awareness raising and capacity building in the area of patent analytics. Apart from various workshops organized on this topic, WIPO published in September 2015 the “Guidelines for Preparing Patent Landscape Reports”. The Guidelines describe the objectives and motivations for preparing Patent Landscape Reports (PLR) and other types of patent analysis, the tasks associated with patent analytics, as well as the stages in the preparation of PLRs, providing also some insights from WIPO’s experience in the area.
Since 2015 WIPO is exploring open source tools for patent analytics purposes in the framework of the preparation of a Manual on Open Source Tools for Patent Analytics. Open source tools are typically used by other disciplines, usually business/data analysts, statisticians, IT professionals and scientists, rather than with regard to patent data. Nevertheless, in recent years they started emerging as an alternative and/or a complement to ready-to-use tools, providing flexibility and adaptability in different analysis types. In view of the necessary programming related to this type of tools, WIPO developed step-by-step instructions in the Manual with example datasets, and will provide capacity building activities with training on patent analytics for Technology and Innovation Technology Support Centers (TISCs) around the world (for more information on the TISC program please visit www.wipo.int/tisc) .
This joint presentation will focus on a project between CENTREDOC and the ARMASUISSE Science and Technology Foresight program to set up an optimized Patent Landscape process. The talk will outline the major bottlenecks identified in the existing process, the solutions considered and implemented by CENTREDOC, as well as the results achieved by ARMASUISSE in its capacity to anticipate and get the necessary understanding of emerging technologies. As technologies can be considered independently of the domain of application, creating a contributory platform providing structured information about technologies is of common general interest at governmental and industrial level, both national and international.
II-SDV 2015 The International Information Conference on Search, Data Mining a...Dr. Haxel Consult
he II-SDV meeting takes place in Nice in April 2016 for an intensive two days. Venue is the Hotel Plaza in central Nice. The meeting provides an international forum for those in the field of advanced search applications, data and text mining, and visualization technology. The primary focus is on tools for intelligence and the meeting examines the requirements of specialists in scientific and technical information.
The meeting will be of interest to those who wish to update themselves and keep in touch with the leading edge of information search and analysis technologies; it features approximately 22 speakers for the two days. There will be an adjacent, focused exhibition to complement the conference programme.
II-SDV 2016 Irene Kitsara - Patent Landscape Reports and Other WIPO Activitie...Dr. Haxel Consult
WIPO started work in the area of patent analytics in 2010 with a Development Agenda project on “Developing Tools for Access to Patent Information” which resulted in the production of a series of Patent Landscape Reports (WIPO’s patent landscape reports can be found here). These reports, prepared in cooperation with various UN Agencies, non-governmental organizations, research institutes and national IP Offices, analyze patent activity in various topics in the areas of public health, food and agriculture, environment and energy, and disabilities. The key findings are often summarized in an infographic.
In 2013 WIPO started working also on awareness raising and capacity building in the area of patent analytics. Apart from various workshops organized on this topic, WIPO published in September 2015 the “Guidelines for Preparing Patent Landscape Reports”. The Guidelines describe the objectives and motivations for preparing Patent Landscape Reports (PLR) and other types of patent analysis, the tasks associated with patent analytics, as well as the stages in the preparation of PLRs, providing also some insights from WIPO’s experience in the area.
Since 2015 WIPO is exploring open source tools for patent analytics purposes in the framework of the preparation of a Manual on Open Source Tools for Patent Analytics. Open source tools are typically used by other disciplines, usually business/data analysts, statisticians, IT professionals and scientists, rather than with regard to patent data. Nevertheless, in recent years they started emerging as an alternative and/or a complement to ready-to-use tools, providing flexibility and adaptability in different analysis types. In view of the necessary programming related to this type of tools, WIPO developed step-by-step instructions in the Manual with example datasets, and will provide capacity building activities with training on patent analytics for Technology and Innovation Technology Support Centers (TISCs) around the world (for more information on the TISC program please visit www.wipo.int/tisc) .
This joint presentation will focus on a project between CENTREDOC and the ARMASUISSE Science and Technology Foresight program to set up an optimized Patent Landscape process. The talk will outline the major bottlenecks identified in the existing process, the solutions considered and implemented by CENTREDOC, as well as the results achieved by ARMASUISSE in its capacity to anticipate and get the necessary understanding of emerging technologies. As technologies can be considered independently of the domain of application, creating a contributory platform providing structured information about technologies is of common general interest at governmental and industrial level, both national and international.
II-PIC 2017: Gain insight into technical, legal and business information thro...Dr. Haxel Consult
Feinäugle Roland (European Patent Office, Austria)
A recent study commissioned by the EPO on the involvement of (patent) information in the innovation process in industry underlines the role of patent information in the various innovation stages. This result gives further impetus to the EPO's patent information strategy, aimed at supporting the economy by providing the access to a wealth of patent-related information, be it from its own patent granting process or its collection of worldwide bibliographic, legal status, procedural and full-text data.
In the presentation we highlight some key findings of the study and give an overview of the EPO’s patent information products and services. We will discuss how they can be used for technology-specific searches, for getting insight into the legal and procedural status of an application during and after its grant procedure, and for the statistical analysis of bulk data for business intelligence purposes. The talk covers the EPO’s free-of-charge Espacenet as well as our flagship product PATSTAT, both with a worldwide coverage. It also highlights the ever-improving European Patent Register and its accompanying services as well as our RESTful Open Patent Services.
Gert Frackenpohl (Lighthouse IP, Germany)
China has grown to the largest publishing authority. However, the question has been whether this was real or inflated. As we are now starting to learn that it was in fact inflated, times will be changing. With a continuing challenge of keeping up high volumes of publications, will China now take its real position in the IP space, and start reflecting publications that really show the countries innovation skills?
II-SDV 2016 Aalt van de Kuilen - The Art of Patent LandscapingDr. Haxel Consult
This presentation will give some guidelines on how to create a meaningful Patent Landscapes. Generating patent landscaping reports seems simple, but it isn’t. For making patent landscapes you have to take several different issues into consideration.
It’s important at the start to already have in mind what kind of landscape report you are going to prepare, and choose a topic of interest, but preferable not one that is too broad. It’s also extremely important to have a clean (80-90% relevance) dataset that the landscape is based on; otherwise the outcome will be rubbish. And of course, do not use landscapes for questions that require a legal opinion (like Freedom-to-operate conclusions!!). Patent landscapes are not aimed to be as precise as other patent searches.
Some more important issues has to be taken in account and are presented.
II-SDV Emmanuelle Fortune - SMEs as Patent Applicants in France in 2014 Dr. Haxel Consult
SMEs represent a prime target for public authority awareness-raising policies especially as regards innovation and filing patents. Yet it is not always easy to get a handle on this population in terms of statistics, meaning that it is particularly difficult to systematically identify in the patent databases those SMEs that do file patent applications.
Two census of SMEs conducted in 1999 and 2007, organised jointly by Bpifrance and INPI, allow the INPI to yearly identify SMEs among the companies that filed a patent application at the French patent office.
This study reveals the importance of SMEs among the total patent applicant population. They show that in France, in 2014, SMEs represented 67% of the French corporate bodies that filed patent applications, but only accounted for 23% of the patent applications published in 2014. This share of SMEs and large companies in the patent applications of French corporate bodies are stable since 2011. The figures highlight the fact that in 2014, on average, an SME filed 1.4 patents, compared to 15.2 for a large company (more than 5,000 employees). We observe regional disparities: regions such as Alsace, Languedoc-Roussillon, Pays de la Loire and Poitou-Charentes are characterised by the highest share of patent application from SMEs. And SMEs are more specialised in medical technologies.
ICIC 2017: How to effectively monitor Technological Developments in IPDr. Haxel Consult
Jochen Spuck (Swiss Federal Institute of Intellectual Property, Switzerland)
Kornel Marko (Averbis, Germany)
Modern, cutting-edge developments are not reflected in current patent classification systems, which tend to catalogue established technologies. Identifying patent portfolios in such emerging fields proves a challenging job for patent and technology experts.
Going beyond the mere identification of new IP, additional value may be added using a regional geographic weighting combined with consolidated portfolio owner information.
Effective monitoring of the technological field is achieved by training active-learning search engines to hunt for highly relevant patent documents, thus keeping IP portfolios for emerging technologies up to date. The system we have developed permits extremely accurate updates with drastically reduced noise and with low workload which have proven to be invaluable in a world of drastically increasing data blur.
While the perpetual quest for access to more full-text coverage and authorities goes on, what are patent databases doing beyond expanding content and coverage? How can all of this help you?
This talk will highlight various innovations and capabilities being added to Patent Research Platforms that add greater value to day-to-day operations of patent and scientific information teams. Various innovations for the patent professional, the patent department, the patent analyst and the patent licensing teams will be highlighted and discussed in depth. We will also take a look at what future innovations can be expected in the next 2 years.
II-PIC 2017: Gain insight into technical, legal and business information thro...Dr. Haxel Consult
Feinäugle Roland (European Patent Office, Austria)
A recent study commissioned by the EPO on the involvement of (patent) information in the innovation process in industry underlines the role of patent information in the various innovation stages. This result gives further impetus to the EPO's patent information strategy, aimed at supporting the economy by providing the access to a wealth of patent-related information, be it from its own patent granting process or its collection of worldwide bibliographic, legal status, procedural and full-text data.
In the presentation we highlight some key findings of the study and give an overview of the EPO’s patent information products and services. We will discuss how they can be used for technology-specific searches, for getting insight into the legal and procedural status of an application during and after its grant procedure, and for the statistical analysis of bulk data for business intelligence purposes. The talk covers the EPO’s free-of-charge Espacenet as well as our flagship product PATSTAT, both with a worldwide coverage. It also highlights the ever-improving European Patent Register and its accompanying services as well as our RESTful Open Patent Services.
Gouraj Yadav (Hourglass Research, India)
With growing competition and the constant fear of being struck by disruption, it’s becoming increasingly tougher for corporate R&D departments to strategize research vis-à-vis stringent budgets. Avoiding re-inventing the wheel further poses to be an on-going challenge. In-house IP teams today largely adopt a reactive approach in which they tap ideas and inventions resulting from R&D and pursue patent protection. It would be beneficial if IP teams provide a proactive assistance to R&D teams and assist them in channeling R&D in the right direction. The presentation discusses how in-house IP teams can build an organized patent information database for R&D teams and guide them. The database can act as a common platform for which the R&D folks can have easy access to get the required technical information. Inventors can benefit from the insights received through such an organized database and can better understand the existing state-of-the-art. The presentation further discusses ways in which the database can be exploited for taking strategic R&D decisions.
II-PIC 2017: To err is human – growing in experience as a patent information ...Dr. Haxel Consult
Stephen Adams (Magister Ltd., UK)
Many people who start in patent information work believe that it is possible to become fully competent simply by gathering new facts about search sources, platforms or procedures. Whilst this sort of knowledge certainly contributes to growing competence, it is not sufficient in itself. The truly experienced professional is one who has been doing the job long enough to have encountered a variety of exceptions to the normal rules of search and retrieval, and who has learnt to identify and circumvent errors in an informed way. In short, experience is gained more by making mistakes, and recovering from them, than it is by proceeding smoothly through the challenges of a routine search. This presentation will give some examples of what a good searcher needs to have in their skill set, and why formal education will never prepare you for every eventuality
As access to the internet grows globally, the number of information sources are growing exponentially. In addition, innovations driven by technology platforms such as IoT, AI, MEMS, etc. are bringing new competitors into spaces that were never considered before. Whoever thought that an automotive OEM would feel threatened by Apple or Google. This period of expansion in both information sources and technologies presents a tremendous opportunity and challenge for global corporations. Information needs to be tracked on a regular and consistent basis from various (previously ignored) sources to identify new opportunities, innovations and threats. SciTech Patent Art will share its learnings from the establishment of one such well-thought through Competitive Technology Intelligence program for a global corporation. The presenter will discuss how scope was established, approach used, learnings/refinements to make the program more useful and at the end, summarize key elements of establishing and making such a program successful. Use of tools such as Artificial Intelligence, which is playing a critical role in program sustenance, will be reviewed in the context of establishing such a cost-effective global CTI program.
ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...Dr. Haxel Consult
The valuation of intellectual property is becoming an increasingly important component of realising return on R&D; investment, overall business strategy and IP portfolio management. Like other forms of property, the value of intellectual property is determined by what the buyer is prepared to pay for its perceived value, and what the seller is willing to accept. This is ultimately decided by negotiation. However, there is much that can be done to substantiate the value in support of the position of either the seller or the buyer. From the seller’s viewpoint, being able to place the IP accurately on the competitive landscape is critical to establishing how important the IP is, and hence its perceived market value. On the buyer’s side, the accurate assessment of the market position held by the IP on the technology landscape against competition will help determine whether this is a blocking technology, or whether it can ultimately be worked around. This is a combination of science and art. There are also special considerations to be factored in for the chemical technology space. In all cases, IP information and analysis tools play a central role in providing support for valuation of IP. This presentation will use a case study approach to examine the issues and provide insight into how organizations can more accurately assess the importance of their IP, and hence the current and potential market value of that IP.
II-SV 2017: How to effectively monitor Technological Developments in IPDr. Haxel Consult
Modern, cutting-edge developments are not reflected in current patent classification systems, which tend to catalogue established technologies. Identifying patent portfolios in such emerging fields proves a challenging job for patent and technology experts.
Going beyond the mere identification of new IP, additional value may be added using a regional geographic weighting combined with consolidated portfolio owner information.
Effective monitoring of the technological field is achieved by training active-learning search engines to hunt for highly relevant patent documents, thus keeping IP portfolios for emerging technologies up to date. The system we have developed permits extremely accurate updates with drastically reduced noise and with low workload which have proven to be invaluable in a world of drastically increasing data blur.
II-PIC 2017: Gain insight into technical, legal and business information thro...Dr. Haxel Consult
Feinäugle Roland (European Patent Office, Austria)
A recent study commissioned by the EPO on the involvement of (patent) information in the innovation process in industry underlines the role of patent information in the various innovation stages. This result gives further impetus to the EPO's patent information strategy, aimed at supporting the economy by providing the access to a wealth of patent-related information, be it from its own patent granting process or its collection of worldwide bibliographic, legal status, procedural and full-text data.
In the presentation we highlight some key findings of the study and give an overview of the EPO’s patent information products and services. We will discuss how they can be used for technology-specific searches, for getting insight into the legal and procedural status of an application during and after its grant procedure, and for the statistical analysis of bulk data for business intelligence purposes. The talk covers the EPO’s free-of-charge Espacenet as well as our flagship product PATSTAT, both with a worldwide coverage. It also highlights the ever-improving European Patent Register and its accompanying services as well as our RESTful Open Patent Services.
Gert Frackenpohl (Lighthouse IP, Germany)
China has grown to the largest publishing authority. However, the question has been whether this was real or inflated. As we are now starting to learn that it was in fact inflated, times will be changing. With a continuing challenge of keeping up high volumes of publications, will China now take its real position in the IP space, and start reflecting publications that really show the countries innovation skills?
II-SDV 2016 Aalt van de Kuilen - The Art of Patent LandscapingDr. Haxel Consult
This presentation will give some guidelines on how to create a meaningful Patent Landscapes. Generating patent landscaping reports seems simple, but it isn’t. For making patent landscapes you have to take several different issues into consideration.
It’s important at the start to already have in mind what kind of landscape report you are going to prepare, and choose a topic of interest, but preferable not one that is too broad. It’s also extremely important to have a clean (80-90% relevance) dataset that the landscape is based on; otherwise the outcome will be rubbish. And of course, do not use landscapes for questions that require a legal opinion (like Freedom-to-operate conclusions!!). Patent landscapes are not aimed to be as precise as other patent searches.
Some more important issues has to be taken in account and are presented.
II-SDV Emmanuelle Fortune - SMEs as Patent Applicants in France in 2014 Dr. Haxel Consult
SMEs represent a prime target for public authority awareness-raising policies especially as regards innovation and filing patents. Yet it is not always easy to get a handle on this population in terms of statistics, meaning that it is particularly difficult to systematically identify in the patent databases those SMEs that do file patent applications.
Two census of SMEs conducted in 1999 and 2007, organised jointly by Bpifrance and INPI, allow the INPI to yearly identify SMEs among the companies that filed a patent application at the French patent office.
This study reveals the importance of SMEs among the total patent applicant population. They show that in France, in 2014, SMEs represented 67% of the French corporate bodies that filed patent applications, but only accounted for 23% of the patent applications published in 2014. This share of SMEs and large companies in the patent applications of French corporate bodies are stable since 2011. The figures highlight the fact that in 2014, on average, an SME filed 1.4 patents, compared to 15.2 for a large company (more than 5,000 employees). We observe regional disparities: regions such as Alsace, Languedoc-Roussillon, Pays de la Loire and Poitou-Charentes are characterised by the highest share of patent application from SMEs. And SMEs are more specialised in medical technologies.
ICIC 2017: How to effectively monitor Technological Developments in IPDr. Haxel Consult
Jochen Spuck (Swiss Federal Institute of Intellectual Property, Switzerland)
Kornel Marko (Averbis, Germany)
Modern, cutting-edge developments are not reflected in current patent classification systems, which tend to catalogue established technologies. Identifying patent portfolios in such emerging fields proves a challenging job for patent and technology experts.
Going beyond the mere identification of new IP, additional value may be added using a regional geographic weighting combined with consolidated portfolio owner information.
Effective monitoring of the technological field is achieved by training active-learning search engines to hunt for highly relevant patent documents, thus keeping IP portfolios for emerging technologies up to date. The system we have developed permits extremely accurate updates with drastically reduced noise and with low workload which have proven to be invaluable in a world of drastically increasing data blur.
While the perpetual quest for access to more full-text coverage and authorities goes on, what are patent databases doing beyond expanding content and coverage? How can all of this help you?
This talk will highlight various innovations and capabilities being added to Patent Research Platforms that add greater value to day-to-day operations of patent and scientific information teams. Various innovations for the patent professional, the patent department, the patent analyst and the patent licensing teams will be highlighted and discussed in depth. We will also take a look at what future innovations can be expected in the next 2 years.
II-PIC 2017: Gain insight into technical, legal and business information thro...Dr. Haxel Consult
Feinäugle Roland (European Patent Office, Austria)
A recent study commissioned by the EPO on the involvement of (patent) information in the innovation process in industry underlines the role of patent information in the various innovation stages. This result gives further impetus to the EPO's patent information strategy, aimed at supporting the economy by providing the access to a wealth of patent-related information, be it from its own patent granting process or its collection of worldwide bibliographic, legal status, procedural and full-text data.
In the presentation we highlight some key findings of the study and give an overview of the EPO’s patent information products and services. We will discuss how they can be used for technology-specific searches, for getting insight into the legal and procedural status of an application during and after its grant procedure, and for the statistical analysis of bulk data for business intelligence purposes. The talk covers the EPO’s free-of-charge Espacenet as well as our flagship product PATSTAT, both with a worldwide coverage. It also highlights the ever-improving European Patent Register and its accompanying services as well as our RESTful Open Patent Services.
Gouraj Yadav (Hourglass Research, India)
With growing competition and the constant fear of being struck by disruption, it’s becoming increasingly tougher for corporate R&D departments to strategize research vis-à-vis stringent budgets. Avoiding re-inventing the wheel further poses to be an on-going challenge. In-house IP teams today largely adopt a reactive approach in which they tap ideas and inventions resulting from R&D and pursue patent protection. It would be beneficial if IP teams provide a proactive assistance to R&D teams and assist them in channeling R&D in the right direction. The presentation discusses how in-house IP teams can build an organized patent information database for R&D teams and guide them. The database can act as a common platform for which the R&D folks can have easy access to get the required technical information. Inventors can benefit from the insights received through such an organized database and can better understand the existing state-of-the-art. The presentation further discusses ways in which the database can be exploited for taking strategic R&D decisions.
II-PIC 2017: To err is human – growing in experience as a patent information ...Dr. Haxel Consult
Stephen Adams (Magister Ltd., UK)
Many people who start in patent information work believe that it is possible to become fully competent simply by gathering new facts about search sources, platforms or procedures. Whilst this sort of knowledge certainly contributes to growing competence, it is not sufficient in itself. The truly experienced professional is one who has been doing the job long enough to have encountered a variety of exceptions to the normal rules of search and retrieval, and who has learnt to identify and circumvent errors in an informed way. In short, experience is gained more by making mistakes, and recovering from them, than it is by proceeding smoothly through the challenges of a routine search. This presentation will give some examples of what a good searcher needs to have in their skill set, and why formal education will never prepare you for every eventuality
As access to the internet grows globally, the number of information sources are growing exponentially. In addition, innovations driven by technology platforms such as IoT, AI, MEMS, etc. are bringing new competitors into spaces that were never considered before. Whoever thought that an automotive OEM would feel threatened by Apple or Google. This period of expansion in both information sources and technologies presents a tremendous opportunity and challenge for global corporations. Information needs to be tracked on a regular and consistent basis from various (previously ignored) sources to identify new opportunities, innovations and threats. SciTech Patent Art will share its learnings from the establishment of one such well-thought through Competitive Technology Intelligence program for a global corporation. The presenter will discuss how scope was established, approach used, learnings/refinements to make the program more useful and at the end, summarize key elements of establishing and making such a program successful. Use of tools such as Artificial Intelligence, which is playing a critical role in program sustenance, will be reviewed in the context of establishing such a cost-effective global CTI program.
ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...Dr. Haxel Consult
The valuation of intellectual property is becoming an increasingly important component of realising return on R&D; investment, overall business strategy and IP portfolio management. Like other forms of property, the value of intellectual property is determined by what the buyer is prepared to pay for its perceived value, and what the seller is willing to accept. This is ultimately decided by negotiation. However, there is much that can be done to substantiate the value in support of the position of either the seller or the buyer. From the seller’s viewpoint, being able to place the IP accurately on the competitive landscape is critical to establishing how important the IP is, and hence its perceived market value. On the buyer’s side, the accurate assessment of the market position held by the IP on the technology landscape against competition will help determine whether this is a blocking technology, or whether it can ultimately be worked around. This is a combination of science and art. There are also special considerations to be factored in for the chemical technology space. In all cases, IP information and analysis tools play a central role in providing support for valuation of IP. This presentation will use a case study approach to examine the issues and provide insight into how organizations can more accurately assess the importance of their IP, and hence the current and potential market value of that IP.
II-SV 2017: How to effectively monitor Technological Developments in IPDr. Haxel Consult
Modern, cutting-edge developments are not reflected in current patent classification systems, which tend to catalogue established technologies. Identifying patent portfolios in such emerging fields proves a challenging job for patent and technology experts.
Going beyond the mere identification of new IP, additional value may be added using a regional geographic weighting combined with consolidated portfolio owner information.
Effective monitoring of the technological field is achieved by training active-learning search engines to hunt for highly relevant patent documents, thus keeping IP portfolios for emerging technologies up to date. The system we have developed permits extremely accurate updates with drastically reduced noise and with low workload which have proven to be invaluable in a world of drastically increasing data blur.
II-SDV 2016 Stefan Geißler Navigating complex information landscapes – Semant...Dr. Haxel Consult
Information that is relevant for researchers and decision makers in the Life Sciences comes from many different backgrounds: Scientific publications, patents, news, clinical reports, user-generated content, they all may be required to understand trends, opportunities and threats. A key to providing quick and comprehensive overview is having information from various source in one place and semantically enrich and normalize them and relate them to one another.
We present the key principles of a platform that serves that purpose and that provides users with insights into the scientific, clinical and competitive intelligence landscape of their respective area of interest. Forged in close collaboration with industry practitioners, the Luxid Biopharma Navigator is today used in production by hundreds of experts.
The use of ontologies to aid in the development of text search queries, the quality and relevance ranking of results, and the
categorization of patents has been well characterized. Similar work has been performed on non-patent scientific literature such as journal articles. We present here the employment of common life science ontologies to search both the entirety of the patent and non-patent literature corpora at the same time. The results of these searches can be readily studied in a single unified search result that allows for the annotation of key patent and non-patent documents in a mixed data-type environment.
II-SDV 2016 Aleksandar Kapisoda, Klaus Kater - Deep Web SearchDr. Haxel Consult
Boehringer Ingelheim has been developing dedicated Life Science SEARCHCORPORA for startups, scientific literature and news tracking based on the Web Data Analysis platform Deep SEARCH 9.
Using the Deep SEARCH 9 approach, Boehringer Ingelheim is capable of tapping directly any web resources like online websites data bases, web sites or news feeds.
Use case 1: SEARCHCORPUS® for life science startups:
We find startup information we could not find in public search engines.
Use case 2: Life science news SEARCHCORPUS®:
100s of incoming mails and alerts are processed every day and websites and articles behind the news tags are crawled automatically.
The purpose of these applications is that Scientists can subscribe to the services to have compilations of results of personalized deep searches sent to them automatically or that they can alternatively use faceted search on the life science SEARCHCORPORA interactively.
This paper revisits some of the issues discussed in our 2013 presentation "Challenges in Visualizing Pharmaceutical Business Information," where we analyzed some of the unique challenges in visualizing competitive intelligence information for the pharmaceutical industry. A key challenge for pharmaceutical companies is to evaluate the competitive landscape for drug launches many years in the future, based on a combination of publicly available drug pipeline and clinical trials data and internal company knowledge. This information is often conveyed in hand-drawn PowerPoint slides, which are very time consuming to create and update as the competitive landscape changes. In this paper we'll discuss approaches to developing a toolkit to facilitate the analysis and visualization of competitive drug launch timelines, and then show how to apply the same tools to a different problem -- forecasting the patent expiration landscape.
II-SDV 2016 Srinivasan Parthiban - KOL Analytics from Biomedical LiteratureDr. Haxel Consult
Strategic partnerships between pharmaceutical companies and medical experts lead to more effective medical and marketing activities throughout a product life cycle. Identification of such medical experts, that is, key opinion leaders (KOLs) from bibliometric analysis is challenging due to volume and variety of data. Today, the research community is flooded with scientific literature, with thousands of journals and over 20 million abstracts in PubMed. Developing a holistic framework to identify, profile and update the KOLs is the need of the hour. Customers want digestible information – everything relevant. In this talk, we will present case studies on how we used the ontologies and disambiguation techniques to address KOL identification for different therapeutic areas.
II-SDV 2017 in Nice - The International Information Conference on Search, Dat...Dr. Haxel Consult
The 2017 II-SDV Conference in Nice, 24 - 25 April 2017
The II-SDV meeting takes place in Nice in April 2017 for an intensive two days. Venue is the Hotel Plaza in central Nice. The meeting provides an international forum for those in the field of advanced search applications, data and text mining, and visualization technology. The primary focus is on tools for intelligence and the meeting examines the requirements of specialists in scientific and technical information.
The meeting will be of interest to those who wish to update themselves and keep in touch with the leading edge of information search and analysis technologies; it features approximately 22 speakers for the two days. There will be an adjacent, focused exhibition to complement the conference programme.
PatSeer is a fully-featured global patent database with powerful integrated analytics, project management, and collaboration capabilities. PatSeer includes 74 million full-text records and more than 115 million+ records across 104+ countries. It includes a rich search syntax with all the capabilities needed by professional patent searchers. With powerful filtering, multidimensional analysis, and collaboration capabilities PatSeer helps you get your patent projects done online with ease.
Similar to II-SDV 2016 Bob Stembridge We have all the Time in the World; a Review of how Different Measures of Time Provide Different Views of the World
3D Cell Culture technologies Patent Landscape Sample 2016 Knowmade
The patent landscape related to 3D cell technologies is very open, involving important academic applicants as well as small companies. It includes over 2,500 patent families and involves over 1,000 patent applicants.
The report provides essential patent data for 3D cell culture technologies including:
• Time evolution of patent publications and countries of patent filings
• Current legal status of patents
• Ranking of main patent applicants
• Joint developments and IP collaboration network of main patent applicants
• Key patents
• Granted patents near expiration.
• Relative strength of main companies IP portfolio
• 3D cell culture IP profiles of 10+ major companies with key patents, partnerships, and IP strength and strategy
Patent counts and statistics have for a long time been regarded as one of the main indicators of technical innovation and progress lead by such innovation.
The Icelandic Geothermal Cluster decided last year to conduct a study on the landscape of patents in the geothermal sector with the purpose to aid and support constructive discussion about the Icelandic geothermal innovation development.
Lead by Arnason Factor
Which companies own patents in microLED display? What are their major thrust areas and
portfolio strength?
Yole Développement has identified close to 1,500
patents filed by 125 companies and organizations
relevant to the microLED display field. Among
these are multiple startups, display makers, OEMs,
semiconductor companies, LED makers, and
research institutions.
More information on that report at http://www.i-micronews.com/reports.html
Evolution to Revolution - Why disruption of Status Quo is importantPulkit Bhatnagar
Strategy Paper on how Indian companies (and elsewhere) need to continuously disrupt their thinking processes and challenge the status quo, to ensure sustained growth, and keep their stakeholders happy.
Lost at sea? Charting wave energy’s difficult innovation journey towards comm...Matthew Hannon
The UK has a rich history of wave energy technology innovation stretching back to 1976 when it launched its first wave energy programme. Whilst funding was discontinued in the 1980s a new programme was established in the 2000s as wave energy was considered a critical solution to meeting the government’s climate change, energy and economic objectives. Despite committing approximately $150m to wave energy development over the past 15 years the UK has still failed to deliver a commercially viable wave energy device. This raises questions about the effectiveness of government policy designed to support wave energy innovation. Drawing upon 32 expert interviews, investment data and extensive documentary evidence the research examines how the level and type of innovation support from UK government has contributed to this slow progress and how these weaknesses could be addressed to help accelerate wave energy innovation in the future.
The research finds that government policy was indeed partly to blame for this slow progress including poor coordination of policy support, duplication of investment, stop-start R&D programmes that fostered knowledge depreciation and schemes that encouraged developers to go ‘too big too soon’. Despite these failures significant ‘policy learning’ has taken place, triggering a major reconfiguration of UK wave energy innovation support such as a refocusing on component versus device development, treating wave and tidal energy innovation separately and greater coordination of innovation programmes. Even so outstanding policy recommendations include strengthening coordination between UK and Scottish governments and collaboration between universities and device developers. Finally, the research finds that government policy wasn’t the only factor that contributed to this slow progress such as developers overpromising and under-delivering, as well as the high capital cost and practical difficulties associated with device testing at sea.
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...Dr. Haxel Consult
In 2019 the UK was the first major economy to embrace a legal obligation to achieve net zero carbon emissions by 2050. More broadly, the 2021 UK Innovation Strategy sets out the UK government’s vision to make the UK a global hub for innovation by 2035 with a target of increasing public and private sector R&D expenditure to 2.4% of GDP to support the UK being a science superpower with a world-class research and innovation system.
IP rights create an incentive for R&D which ultimately leads to innovation. Analysis and insights from IP data can therefore help provide a better understanding of how the IP system is being used and where and what innovation is taking place. Research and analysis of IP data is a key input to the ongoing work of the UKIPO’s Green Tech Working Group which seeks to:
further the UK’s status as a global leader by making the UK’s IP environment the best for innovating green technology;
develop and deliver IP policies to support government’s ambition on climate change and green technologies; and
to help innovators best protect and commercialise their green tech innovations both at home and internationally.
The UKIPO has been developing a broad portfolio of ‘green’ IP analytics research. A series of patent analytics reports have been published looking at green technologies, and analysis of how the UK’s Green Channel scheme for accelerated processing of green patent applications has been conducted. Patents have been used to identify technological comparative advantage within different green technologies at a country level, and new insights uncovered by mapping green technology patents to the UN Sustainable Development Goals (SDGs). Trade mark data provides a timeliness and closeness to market factor that patent data does not, and complementary trade mark analysis of UK ‘green’ trade marks, identified using a machine learning algorithm, provides a commercialisation angle to our research.
Patent Portfolios and Invention Sessions in Growth Stage Tech Companies - Dav...Dave Litwiller
The seminar will provide strategic, operating and execution perspectives on how to build the organically developed patent portfolio in growth-stage technology businesses.
Attention in particular will be given to how to spring ahead, even if from a more modest start, by anticipating the future state of the industry, its enabling technology and most critical resources.
Note that this seminar, unlike many about patents and IP, will not focus on the basics of patent law, prosecution, interpretation or recent cases.
Instead, the emphasis for this session will be on the executive and chief technologist level views of optimizing patent portfolio impact to support larger strategic and financial objectives for the scale-up stage technology enterprise.
The first part of the seminar will cover general management considerations overseeing patent strategy. The second part will describe how to use an invention session process to rapidly build the volume and quality of forward-looking invention disclosures to build a high quality patent pipeline.
Presentación del CEO de METS Ignited, en el pánel:
LOS COMMODITIES Y SU POTENCIAL PARA GENERAR VENTAJAS COMPETITIVAS GLOBALES de la Conferencia CAF Productividad e Innovación para el Desarrollo
Nanowire LED Patent Investigation
New nanowire LED startups compete with Asian LED giants in the IP landscape
KEY FEATURES OF THE REPORT
- Nanowire LED IP landscape
- Focus on key technology issues: deposition method, substrate type, active material type, PN junction type, passive material type
- Main patent applicants' IP collaboration network
- IP collaboration network of main patent applicants
- Matrix patent applicants/technology segments
- Relative strength of main key players' IP
- Key patents and current patents nearing expiration
- "Nanowire LED IP" profiles of six key players incl. their patenting activity, key patents, patented technologies, partnerships, and patents nearing expiration
- Excel database with all patents analyzed incl. technology segmentation
- LED market and industry trends: data and forecasts
- Nanowire LED – Pure-players and their roadmap
Cubosomes are discrete, sub-micron, nanostructured particles of the biscontinuous cubic liquid crystalline phase. Cubosomes consist of honeycombed (cavernous) structures separating two internal aqueous channels and a large interfacial area.
We have analysed patents related to cubosome technology from year 2006 to 2016 in order to understand progression of this technology. We have used patents as technology progression indicators. We have also undertaken citation analysis and family analysis for deciphering technology influence and market power of key players
Ozone Generator Market Industry Trends Share & Size - Recent Developments.pptxKailas S
Ozone Generator Market by Technology with Covid-19 Impact Analysis (Corona Discharge, Ultraviolet Radiation), Application (Water Purification, Air Purification), End-use Industry (Food & Beverages, Pharmaceutical), and Region
Conference on the knowledge base for research and innovation policy by Andrew...innovationoecd
On March 2, Andrew Wyckoff, Director for Science, Technology and Innovation at the OECD, presented the OECD’s analysis of what future research and innovation policy will look like. A number of foresight analyses conducted in a Norwegian and Nordic context were also presented.
Tin Industry Review 2014 & New Tin Supply - ITRI & Greenfields Research - Aug...John Sykes
ITRI is the main source of global tin industry statistical and market information, based on its networks of member companies and regular large-scale industry surveys.
In recent years it has expanded its representative office in China, giving first-hand access to the world’s largest market and producing country.
Its long history in applications technology provides unique insights into market opportunities and
substitution threats.
ITRI and Greenfields Research have worked together since 2010, collaborating first on the development of the ITRI Tin Production Costs Model and more recently in surveying and analysing tin exploration and development activity worldwide.
The completely updated mine costs model is an important building block for both these new reports, providing a guide to the long-term equilibrium price for tin (as well as the short-term floor price in times of cyclical oversupply) and allowing us to position mine projects along the future industry supply curve.
II-SDV 2017: What is Innovation and how can we measure it?Dr. Haxel Consult
Innovation means many different things to many people. Ask five people and you will likely get ten answers. But all agree that it is a key driver behind the success of organizations, the growth of economies and provides major contributions in addressing global problems. This presentation will examine various analytical methods and possible metrics for measuring innovation and determining relative performance of organizations. The challenges involved in assessing innovation and how these can be addressed will be explored. The pros and cons associated with the metrics identified will also be discussed with a view to identifying a practical method for assessing innovation.
Photonics applications are driving the GaAs wafer and epiwafer market into a new era.
More information on: https://www.i-micronews.com/led-report/product/vcsels-technology-industry-and-market-trends.html
Similar to II-SDV 2016 Bob Stembridge We have all the Time in the World; a Review of how Different Measures of Time Provide Different Views of the World (20)
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...Dr. Haxel Consult
Knowledge Graphs are an increasingly relevant approach to store detailed knowledge in many domains. Recent advances in NLP allow to enrich Knowledge Graphs through automated analysis of large volumes of literature, reducing a lot the efforts in traditional manual information capturing. In our presentation we report the approach taken in a project with partner Fraunhofer SCAI in the life sciences where a knowledge graph organising detailed facts about psychiatric diseases has been computed.
Information of cause-effect relations between proteins, genes, drugs and diseases has been encoded in the BEL (Biological Expression Language) and imported into a Graph database to approach an indication-wide Knowledge Graph for the selected therapeutic area. Ultimately, updating the graph will amount to just rerunning the analysis on the newly published literature.
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...Dr. Haxel Consult
Word embeddings, deep learning, transformer models and other pre-trained neural language models (sometimes recently referred to as "foundational models") have fundamentally changed the way state-of-the-art systems for natural language processing and information access are built today. The "Data-to-Value" process methodology (Leidner 2013; Leidner 2022a,b) has been devised to embody best practices for the construction of natural language engineering solutions; it can assist practitioners and has also been used to transfer industrial insights into the university classroom. This talk recaps how the methodology supports engineers in building systems more consistently and then outlines the changes in the methodology to adapt it to the deep learning age. The cost and energy implications will also be discussed.
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...Dr. Haxel Consult
In the patent domain, all types of issues, from very specific search requirements to the linguistic characteristics of the text domain, are accentuated. Consequently, to develop patent text mining tools for scientists and patent experts, we need to understand their daily work tasks, as well as the linguistic character of the text genre (i.e., patentese). Patent text is a mixture of legal and domain-specific terms. In processing technical English texts, a multi-word unit method is often deployed as a word-formation strategy to expand the working vocabulary, i.e., introducing a new concept without the invention of an entirely new word. This productive word formation is a well-known challenge for traditional natural language processing tools utilizing supervised machine learning algorithms due to limited domain-specific training data. Deep learning technologies have been introduced to overcome the reduction in performance of traditional NLP tools. In the Artificial Researcher technologies, we have integrated explicit and implicit linguistic knowledge into the deep learning algorithms, essential for domain-specific text mining tools. In this talk, we will present a step-by-step process of how we have developed the mentioned text mining tools. For the final outline, we will also demonstrate how these tools can be integrated in a cross-genre passage retrieval system, based on a technology from 2016 that still holds the state-of-the-art within the patent text mining research community in 2022.
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...Dr. Haxel Consult
In 2013 we witnessed an evolutionary change in the NLP field evolved thanks to the introduction of space embeddings that, with the use of deep learning architectures, achieved human-level performances in many NLP tasks. With the introduction of the Attention mechanism in 2017 the results were further improved and, as result, embeddings are quickly becoming the de facto standards in solving many NLP problems. In this presentation, you will learn how generate and use space embedding for search purposes and provide comparison metrics to more traditional relevance-based search engines. Moreover, I will provide some initial results on a paper currently under review that provides an insight on hyperparameter tuning during the generation of embeddings.
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...Dr. Haxel Consult
10 years in the making. How real-world business cases have driven the development of CCC's deep search solutions, leading to the capabilities for web-crawling and delivery of targeted intelligence that helps R&D; intensive companies gain a competitive advantage.
AI-SDV 2022: Machine learning based patent categorization: A success story in...Dr. Haxel Consult
Machine learning based patent categorization: A success story in monitoring a complex technology with high patenting activity
Susanne Tropf (Syngenta, Switzerland)
Kornel Marko (Averbis, Germany)
AI-SDV 2022: Machine learning based patent categorization: A success story in...Dr. Haxel Consult
Machine learning based patent categorization: A success story in monitoring a complex technology with high patenting activity
Susanne Tropf (Syngenta, Switzerland)
Kornel Marko (Averbis, Germany)
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...Dr. Haxel Consult
It is relatively easy for a human to read a document and quickly figure out which concepts are important. However, this task is a difficult challenge for a machine. During the past few decades, there have been two main approaches for concept identification: Natural Language Processing and Machine Learning. During the early part of this century, Machine Learning made great strides as new techniques came into wider use (SVM’s, Topic Modeling, etc..). Sensing the competition, Natural Language Processing responded with deployment of new emerging techniques (sematic networks, finite state automata, etc..). Neither approach has completely solved the WHAT problem. Advances in Artificial Intelligence have the potential to significantly improve the situation. Where AI is making the most impact is as an enhancement to make Machine Learning and Natural Language Processing work better and, more importantly, work together. This presentation looks at some of this history and what might happen in the future when we blend the interpretation of language with pattern prediction.
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...Dr. Haxel Consult
Trademarks serve as key leading indicators for innovation and economic growth. As the vanguards of new and expanding enterprises, trademarks can be used to study entrepreneurship and shifting market demands in response to varying economic factors. This responsiveness has been seen as recently as the COVID-19 pandemic, where trademark research revealed key insights about business reaction to the global upheaval.
At CIPO, we have been delving more deeply than ever before into trademark analysis by leveraging cutting-edge natural language processing (NLP) tools to derive actionable business intelligence from trademark data. In this presentation, we present a survey of NLP in use at CIPO and the insights we have learned applying them. These insights include COVID-19 responses, line-of-business trends based on firm characteristics, and more.
We also discuss ongoing and future trademark research projects at CIPO. These projects include emerging technology detection methods and high-resolution trademark classification systems. We conclude that artificial intelligence-enhanced tools like NLP are key components of future exploitation of trademark data for business and economic intelligence.
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...Dr. Haxel Consult
In our customer projects involving automated document processing, we often encounter document types providing crucial data in the form of tables. While established text analytics algorithms are usually optimized to operate on running text, they tend to produce rather poor results on tables as they do not capture the non-sequential relations inside them (e.g. interpret the content of a table cell relative to its column title, interpret line breaks inside a cell differently from line breaks between cells or rows). While there are elaborate information extraction products in the market for a few highly specific types of tabular documents, there is no general approach out there. The main cause for this is the fact that table structures can be encoded by a heterogenous range of layout means (e.g. column boundaries can be signaled by lines vs. aligned text vs. white space). In this talk, we will illustrate several solutions that we have developed for a range of challenges occurring in this context, both for scanned and digitally generated documents.
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...Dr. Haxel Consult
Most scientific journals request, that the complete set of research data is published simultaneously with the peer-reviewed paper. The publication of the research data usually is carried out as so-called "Supplementary Material", attached to the original paper, or on a "Research Data Repository". Both forms have in common, that the data is published usually unstructured and not in an uniform machine processable format. This makes its further use in electronic tools for AI or data mining unnecessarily difficult or even impossible. A concept is presented, in which the data is digitally recorded, following the principle of FAIR data, as part of the publication process. This digital capture makes the data available to the scientific community for easy use in data mining and AI tools. The data in the repository contains links to the publication to document its origin. The concept is applicable for preprints, peer-review papers, diploma and doctoral theses and is particularly suitable for open access publications. Moreover, the presentation highlights correspondent activities, which were released in scientific publications recently.
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...Dr. Haxel Consult
How do you find video when you only have sparse data? While you can wander the stacks (if you can still find open stacks) for inspiration, video either physical or digital, is difficult to discover. Wandering the virtual stacks is, well, virtually impossible. Discovery platforms on the whole have not replicated the inspirational experience of wandering the stacks.
More companies are using archivable video for internal communication of the various research projects, product developments, test results, and more that are being considered, in progress, or completed. Showing how an experiment was conducted can convey considerably more information that is very difficult to communicate via text. How do you find a company video that might be helpful for your project?
A case study is presented of the problems and the solutions that were implemented by a large, multinational chemical company. A suite of content discovery technologies was used including a video to text to tagging system connected to their documents database and automatically indexed using several chemical as well as conceptual systems (rule-based, NLP, inference engine). To build the system and support the manuscript and video submission there is a metadata extraction program which pulls and inserts the metadata into the submission forms so the author can move quickly through that process.
Copyright Clearance Center
A pioneer in voluntary collective licensing, CCC (Copyright Clearance Center) helps organizations integrate, access, and share information through licensing, content, software, and professional services. With expertise in copyright and information management, CCC and its subsidiary RightsDirect collaborate with stakeholders to design and deliver innovative information solutions that power decision-making by helping people integrate and navigate data sources and content assets. CCC recently acquired the assets and technology of Deep SEARCH 9 (DS9), a knowledge management platform that leverages machine learning to help customers perform semantic search, tag content, and discover new insights.
Lighthouse IP is the world’s leading provider of intellectual property content. The core business of Lighthouse IP is sourcing and creating content from the world’s most challenging authorities. Specialized in IP data, Lighthouse IP provides over 160 countries coverage for patents, over 200 authorities for trademarks and over 90 authorities for designs. Lighthouse IP data is available via several partners. The company is headquartered in Schiphol-Rijk in the Netherlands and has offices in the United States, China, Thailand, Vietnam, Egypt, Indonesia and Belarus. Globally a team of 150 experts works on the creation of this unique data collection.
CENTREDOC was created in 1964 as the technical information center of the swiss watchmaking industry. Building on a strong team of engineers, CENTREDOC now offers a complete range of services and solutions for the monitoring of strategic, technological and competitive information. CENTREDOC is also a leader in the research of patent, technical and business intelligence, and offers consulting expertise in the implementation of monitoring solutions.
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...Dr. Haxel Consult
The everyday use of AI-driven algorithms for data search, analysis and synthesis comes with important time savings, but also reveals the need to understand and accept the limitations of the technology. Practical deployments on concrete topics are inevitable to assess and manage the challenges of neuronal network based AI. A workshop report.
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...Dr. Haxel Consult
What if there was a platform where literature, conference abstracts, patents, clinical trials, news, grants and other sources were fully integrated? What if the data would be harmonized, enriched with standardized concepts and ready for analysis? After building our patent analytics platform we didn’t stop dreaming and built our big data analytics platform by semantically integrating text-rich, scientific sources. In my presentation I will talk about what we built and why we built it. And, of course, I will also address the challenges and hurdles along the way. Was it worth it and what comes next? Let’s talk about it!
The Artificial Intelligence Conference on Search, Data and Text Mining, Analy...Dr. Haxel Consult
AI-SDV 2022 The Meeting
AI-SDV 2022 Conference and Exhibition is planned to be held physically and virtually. Speakers, attendees and exhibitors are invited to join physically and virtually in Vienna, Austria. We are developing a range of digital formats that respond precisely to the speakers, attendees and exhibitors needs, enabling individuals and exhibitors from AI industry and related sectors worldwide to participate in the AI-SDV 2022 in Vienna.
The Artificial Intelligence Conference on Search, Data and Text Mining, Analytics and Visualization.
The 2022 AI-SDV Conference in Vienna, Austria, 10th - 11th October 2022.
AI-SDV 2022 is the place to be for everyone involved in advanced search and data applications, text mining and visualization technologies. Individuals and companies that are shaping the future of this exciting space that surrounds us and impacts us all will present their latest research findings, tech developments and visions for the future.
Enjoy a full-on two days of learning, networking and exploring technologies and concepts that are state of the art and will continue to change way we as individuals and organisations work, rest and play. The focus is on Artificial Intelligence (AI), Digitization 2.0 (about making companies, processes and people ready for AI), Deep Learning and other topics identified by our community, who are specialists working in scientific and technical information.
The event features approximately 22 speakers over two days, plus an exhibition to complementing the conference programme.
As past attendees tell us, Vienna is a fabulous location and beyond the formal meetings taking place in the conference and exhibition space, we make the most of this gorgeous location for informal evening receptions and networking dinners.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
ER(Entity Relationship) Diagram for online shopping - TAEHimani415946
https://bit.ly/3KACoyV
The ER diagram for the project is the foundation for the building of the database of the project. The properties, datatypes, and attributes are defined by the ER diagram.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
II-SDV 2016 Bob Stembridge We have all the Time in the World; a Review of how Different Measures of Time Provide Different Views of the World
1. WE HAVE ALL THE TIME IN THE WORLD
A review of how different measures of time provide different views of the world
BOB STEMBRIDGE
IP & SCIENCE
REUTERS/Luke MacGregor
2. AGENDA
• The acceleration of change and the role
of innovation
• Standard view of the world
• Alternative views
• Case study – the automotive sector
• Projections
• Tracking technology evolution over time
• Summary
5. THE PACE OF CHANGE
• Innovators are dedicated to pursuing new ideas
and finding answers – these answers are
transforming our world at lightning speed:
– 90% of the world’s data has been generated in the last 2
years
– 65% of today’s teenagers will hold jobs that don’t yet exist
– China alone generated over 820,000 invention patent
applications last year, up from 40,000 in 2003
6. UNDERSTANDING CHANGE
• Understanding change involves detecting and
measuring any significant changes over time to
determine areas of declining interest or new hot
emerging area
• What sources and measures of time to use?
– Scientific papers
– Patents
– Publication date
– Filing date
– Priority date
– Individual dates or moving windows
6
7. BASIC RESEARCH PRECEDES
APPLIED RESEARCH
7
0
5000
10000
15000
20000
25000
Graphene
Scientific papers
Patents
Source: Web of ScienceTM and Derwent World Patents Index
8. BUT COMMERCIAL APPLICATION
PRECEDES SCIENTIFIC REPORTING
Sildenafil, a novel effective
oral therapy for male
erectile dysfunction. Boolell
et al, Br J Urol Aug
1996;78:257-61
1994 19961995
Pfizer Viagra
patent
WO9428902
published 22
Dec 1994
10. THE ROLE OF PATENTS
Research &
Innovation
Application &
Prosecution
Maintenance &
MonitoringLicensing &
Commercialization
Protection &
Assertion
COMMERCIAL
RETURN ON
INVESTMENT
A patent is a
contract between
the state and an
individual whereby
the state grants
monopoly rights to
the individual to
exploit their
invention in return
for which the
individual provides
full disclosure of
the invention
11. PATENTS - A KEY SOURCE FOR
TECHNICAL INTELLIGENCE
• Provide full description of technical development
• Disclose both inventors and owners of technical
developments
• Provide insight into potential markets of interest
• Comprise highly structured data amenable to
analysis
– Inventor/assignee names
– Patent country
– Publication date
– Technology classifications (IPC, US Class, Derwent
Manual Codes)
12. STANDARD VIEW OF THE WORLD
• Published patent applications/inventions by publication date
0
1
2
3
4
5
6
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Millionen
Publication year
Global patents 2006-2015
Inventions
Publications
Source: Derwent World Patents Index® and Thomson Innovation®
13. ALTERNATIVE VIEWS OF THE WORLD
• Published patent applications/inventions by priority date
– Pendency
– Adjustment for global context
• Rates of change
– Annual
– Moving window
• Maturity
– Age of portfolio
– Remaining patent term
• Projections
14. INVENTIONS BY PUBLICATION/PRIORITY YEAR
14
0
0,5
1
1,5
2
2,5
3
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Millionen
Year
Global inventions 2006-2015
Inventions by
publication year
Inventions by
priority year
Source: Derwent World Patents Index® and Thomson Innovation®
15. INVENTIONS BY PRIORITY + 18 MONTHS
15
0
0,5
1
1,5
2
2,5
3
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Millionen
Year
Global Inventions 2006-2015
Priority date shifted back 18 months
Inventions by publication year
Inventions by priority date shifted
back 18 months
Source: Derwent World Patents Index® and Thomson Innovation®
16. PENDENCY
16
0,00
1,00
2,00
3,00
4,00
5,00
6,00
7,00
2011 2012 2013 2014 2015
to Jun
9th
2015
Jun
16th
2015
after
Jun
16th
Delay between application and
publication Brazil 2011-2015
Median (yrs)
Average (yrs)
0,00
0,20
0,40
0,60
0,80
1,00
1,20
1,40
Delay between application and
publication US 2011-2015
Median (yrs)
Average (yrs)
0
500
1000
1500
2000
2500
BR Apps 2015 by publication Date
17. NANOWIRES – HOT OR NOT?
17
0
200
400
600
800
1000
1200
1400
1600
1800
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Nanowire basic patents 2006-2015
Source: Derwent World Patents Index® and Thomson Innovation®
20. RATES OF CHANGE
• Volume of inventions by publication/priority year
• Growth rate of automotive sector generally by
– Publication date
– Priority date
– Moving window
20
0
20000
40000
60000
80000
100000
120000
140000
160000
180000
2010 2011 2012 2013 2014 2015
Automotive sector 2010-2015
Publication date
Priority
Priority plus 18
months
22. AUTOMOTIVE INDUSTRY SUBSECTORS
22
15%
13%
11%
9%
8%
7%
6%
6%
5%
3%
3%
0%
Alternative Powered Vehicles
Seats, Seatbelts and Airbags
Suspension Systems
Braking Systems
Safety
Transmission
Steering Systems
Navigation Systems
Security Systems
Engine Design and Systems
Entertainment Systems
Pollution Control
Compound Annual Growth or Decline, Patent Activity, 2010-2015
23. MATURITY – AGE OF PORTFOLIO
23
60%
59%
59%
58%
58%
57%
56%
57%
56%
53%
52%
51%
40%
41%
41%
42%
42%
43%
44%
43%
44%
47%
48%
49%
Alternative Powered Vehicles
Suspension Systems
Seats, Seatbelts and Airbags
Safety
Automotive
Braking Systems
Transmission
Navigation Systems
Entertainment Systems
Security Systems
Engine Design and Systems
Pollution Control
% filed since 2013% filed prior to 2013
24. VALUE OF INVENTION IS TIME DEPENDENT
24
The term of the European patent shall be 20 years
as from the date of filing of the application
1: Filing date 2: Grant date 3: Patent expiry1
1 2
2
3
3
27. PROJECTED PUBLISHED APPLICATIONS
2011 – 2015 AS OF 2010
27
Projections are given by a+bx, where and
and where x and y are the sample means
AVERAGE(known_x's) and AVERAGE(known y's).
30. A BY-PRODUCT OF WOOD PROCESSING
IN SEARCH OF NEW APPLICATIONS
• CLA: Conjugated Linoleic
Acids
• Multiple-unsaturated C18
fatty acids
Tall Oil
Swedish: tallolja
31. TALL OIL IN 1988:
A Rubber Additive Imparting Better Properties To
Tires…Downstream IPC Shifting Identifies Changes In Use
???
Particle Board
Rubber Additive
32. TALL OIL:
Finding other uses was relatively slow
Took 14 years
Took 10
years
???
Particle Board
Rubber Additive
33. CLA LEAPS INTO FOOD TECHNOLOGY
Unilever And Its Spin-off
Loders Croklaan
Employ CLA In Food
35. USES FOR CLA: OVERVIEW
Animal Weight
Improvement
Animal Nutrition
Fodder
Improvement
Cosmetics &
Cosmeceuticals
Rubber
Food
Improvement
Incorporating
CLA in Feed
Health Uses
Vehicle for
Actives
Extraction or
Synthetic
Processes to
Make CLA
Dairy & Meat
Quality
Improvement
36. SUMMARY
• Different sources and measures of time can give
different views of the world
• Adjustment for context may be necessary
• Moving time windows can help smooth short term blips
• Grouping into time slices can help show maturity and
direction of growth of a technology
• Past performance is not necessarily an indicator of
future performance
• Citations can be useful to track technology evolution
over time
36