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.
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 150 countries coverage for patents and trademarks. Lighthouse IP data is available via several partners. The company is headquartered in Amsterdam-Schiphol 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.
Patent Global Bibliographic and Legal Data Collection (DIAMOND)
Lighthouse IP currently directly sources the official gazette of over 150 different countries.Data is created manually from the gazettes as soon as they are published. This enables Lighthouse IP to provide a stable and reliable data feed for many additional national offices available from other sources. The collection includes inventions and utility models. There are two separate data products offered, one for the bibliographic data and one for the legal data. The data is delivered in XML format base on the WIPO standards ST.9 and ST.17 for bibliographic and legal event data published in the gazettes. English translations and original text data are provided along with normalized names of persons and companies.
Patent Full Text Collection
Lighthouse IP has specialized in creating the largest collection of full text searchable patents. Currently the coverage offers access to more than 70 authorities. All of these XML files include original versions of the patent document and machine translations into English. Updating for all authorities is regular and in line with the publication frequency of the national office.
Trademark Collection
The Lighthouse IP Trademark Collection contains the data of 150 authorities. For all authorities backfile and frontfile are created, and made available in data feeds based on XML structures. Including translated owner names, classes, lists of goods and services and all relevant meta data, this collection is unique for use in trademark research.
PatentWarehouse.com ™ Image and XML archive
Via the PatentWarehouse.com platform Lighthouse IP provides API access to the world’s largest repository of patent publications in PDF format. For all its full text holdings Lighthouse IP has added the original full records and machine translations in XML format.
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 150 countries coverage for patents and trademarks. Lighthouse IP data is available via several partners. The company is headquartered in Amsterdam-Schiphol 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.
Patent Global Bibliographic and Legal Data Collection (DIAMOND)
Lighthouse IP currently directly sources the official gazette of over 150 different countries.Data is created manually from the gazettes as soon as they are published. This enables Lighthouse IP to provide a stable and reliable data feed for many additional national offices available from other sources. The collection includes inventions and utility models. There are two separate data products offered, one for the bibliographic data and one for the legal data. The data is delivered in XML format base on the WIPO standards ST.9 and ST.17 for bibliographic and legal event data published in the gazettes. English translations and original text data are provided along with normalized names of persons and companies.
Patent Full Text Collection
Lighthouse IP has specialized in creating the largest collection of full text searchable patents. Currently the coverage offers access to more than 70 authorities. All of these XML files include original versions of the patent document and machine translations into English. Updating for all authorities is regular and in line with the publication frequency of the national office.
Trademark Collection
The Lighthouse IP Trademark Collection contains the data of 150 authorities. For all authorities backfile and frontfile are created, and made available in data feeds based on XML structures. Including translated owner names, classes, lists of goods and services and all relevant meta data, this collection is unique for use in trademark research.
PatentWarehouse.com ™ Image and XML archive
Via the PatentWarehouse.com platform Lighthouse IP provides API access to the world’s largest repository of patent publications in PDF format. For all its full text holdings Lighthouse IP has added the original full records and machine translations in XML format.
Every year companies waste billions filing for patents the wrong way
Over half of the world’s patent filings never make it to granted status. The majority of rejections are due to poor searches that fail to identify relevant prior art. Do you know what your filing success rate is – and how you could secure your investment?
Talk given to the Irish branch of the Licensing Executives' Society. Talk covers how intellectual property dynamics intersect with Ireland's FDI strategy.
Patents applicants: how to create the full time seriesGianluca Tarasconi
Patents change applicants data within time;
Main reason for change are ownership change, name/address change, M&A …
Applicant’s names contained in TLS206 is the ‘last available’ data;
PATSTAT Global + EP Register make available several sources to build a chain of names and a timeline for patents contained;
ADG Webinar Series - Introduction to ASD S1000D provides you with an introduction to the ASD S1000D Specification. To view other informative S1000D presentations visit http://www.absolutedata.com/free-resources/webinars
Presented at Innovative Europe Conference in Gdansk, Poland, October 2014. Discusses 10 things that changed the world of intellectual property, and recent IP management trends.
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.
Every year companies waste billions filing for patents the wrong way
Over half of the world’s patent filings never make it to granted status. The majority of rejections are due to poor searches that fail to identify relevant prior art. Do you know what your filing success rate is – and how you could secure your investment?
Talk given to the Irish branch of the Licensing Executives' Society. Talk covers how intellectual property dynamics intersect with Ireland's FDI strategy.
Patents applicants: how to create the full time seriesGianluca Tarasconi
Patents change applicants data within time;
Main reason for change are ownership change, name/address change, M&A …
Applicant’s names contained in TLS206 is the ‘last available’ data;
PATSTAT Global + EP Register make available several sources to build a chain of names and a timeline for patents contained;
ADG Webinar Series - Introduction to ASD S1000D provides you with an introduction to the ASD S1000D Specification. To view other informative S1000D presentations visit http://www.absolutedata.com/free-resources/webinars
Presented at Innovative Europe Conference in Gdansk, Poland, October 2014. Discusses 10 things that changed the world of intellectual property, and recent IP management trends.
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: 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.
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.
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.
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
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.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
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.
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!
1. The Lighthouse IP Diamond File™
Global Bibliographic and Legal Patent Data
Willem Lagemaat
Gert Frackenpohl
Lighthouse IP
2. Lighthouse IP Data Content Coverage Update
Patent Data
• 80 authorities in full text, original and English MT
• 80 authorities original documents in PDF
• 160 countries bibliographic data
• 130 countries legal data
Trademark Data
• 200 authorities
Design Data
• 96 authorities
Products
Access to the data is offered by our information provider partners, and as
a direct datafeed to end-user environments.
3. The Diamond File™
- Introduction
- How it’s made
- Content and coverage
- Lighthouse Invention ID™
- Lighthouse Event Code ™
4. Introduction
Every patent in the world is important. Whether from a state of the art or
from a protective position, every patent is important. How strange is it then
that there is no data product that provides access to all patents in the world?
That thought started the creation of The Diamond File ™. To create a real
global insight into all patents in the world. Not the 50 that are provided by the
patent office, because that creates a false sense of security. But all authorities
in the world. With the Diamond file we provide access to over 100.000 patens
per year, that do not show up in any patent family of the top 30 authorities in
the world.
We are pleased to introduce to you The Diamond File ™. Insight into 160
authorities for bibliographic data and over 130 for up-to-date status
information.
5. How it’s made
The Diamond File ™ is created by utilizing the unique network that
Lighthouse has created over many years. As one of its core competencies,
Lighthouse has a unrivalled skillset to source and process publications from
virtually all publishing authorities in the world.
By sourcing directly from each publishing office Lighthouse is able to
capture information that is not available anywhere today. With regular
updates, the latest status information and the most complete possible
owner data The Diamond File ™ is a must have.
6. This is the info
you’ll get from public patent
sources
While this is what you need
to be on the safe side
Lighthouse IP. The world’s most complete IP datacollection
Lighthouse IP helps you to get the best out of your innovations, by giving you the most complete worldwide IP information. In the past 25years, we’ve
built our own, locally sourced data collection. IP service companies and Fortune 500 companies benefit from our raw data or subscription dataset. With
Lighthouse you have all the information you need to make the best businessdecisions.
Introducing The Diamond File™
7. How it’s made - continued
Standards used
Bibliographic data
• WIPO ST.9, INIDs for bibliographic data
Legal event data
• WIPO ST.17, Recommendation for the coding of headings of
announcements made in official gazettes (1990)
• WIPO ST.27, Legal Status Standardisation (2017)
8. How it’s made - continued
WIPO Standard ST.17 section codes
9. How it’s made - continued
BY Belarus BY_20170430_02 FG1K
(12)
Publications
of patents
for utility
models put
in the state
register of
utility
models of
Republic of
Belarus
126-
157
11,
21,
22,
51,
54,
57,
71,
72,
73
abstract and figure
Documenting the bibliographic content of gazettes
10. How it’s made - continued
Documenting the legal event content of gazettes
BY Belarus BY_20170430_02 MM4A Early
termination
of a patent
due to non-
payment of
fees for
maintaining
a patent in
force
189-
190
BY Belarus BY_20170430_02 NF4A Restoration
of a patent
190
BY Belarus BY_20170430_02 PD4A Change of
patentee's
name
191
11. Content and coverage
Please visit www.lighthouseip.com for the most up to date coverage
information. General statistics for The Diamond File ™ are:
- 160 publishing authorities (still being extended)
- Over 130 authorities status information (still being extended)
12. Lighthouse Invention ID
Introduction to the Lighthouse Invention ID ™
The key data element that connects all publications
and all events by one easy to use identifier
13. Lighthouse Invention ID ™
The challenge with various
types of publications and the
various events related to each
publication is how to connect
them all so it is fully clear
what the complete status of
an invention is.
For this Lighthouse IP has
developed the Lighthouse
Invention ID ™. Creating a
unique key that connects all
publications and all events of
one invention.
14. Lighthouse Invention ID ™ - continued
Invention ID in a bibliographic record
Invention ID in a status event record
15. Lighthouse Event Code
Introduction to the Lighthouse Event Code ™
Simplifying and connecting over 2000 events to
20 easy to use main sections
16. Lighthouse Event Code ™
The Lighthouse Event Code ™ (structured as <lhip-code>) is providing an easy
to use grouping of all legal events. From over 2000 different events, 20
groups have been created to provide easy access and understanding to
events and to the group that they belong to.
Renewal fee paid, annuity paid, update fee paid all relate to the actual status
of a patent, and through the event code is becomes very simple to identify.
The lhip-code-description provides the description of the actual section in
each event record.
17. Lighthouse Event Code ™ - continued
Diamond
Legal Event
Code ID
number
Diamond Legal Event category title ST.17
section
codes
ST.17
section
codes
ST.17
section
codes
ST.17
section
codes
ST.17
section
codes
ST.17
section
codes
ST.17
section
codes
ST.17
section
codes
ST.17
section
codes
1 Application filed AZ AA AF
2 Application discontinued/ceased FA FC FD CD CE BF FE
3 Application revived AE AD CC
4 Document published BA BZ BB
5 Search and examination EA EE
6 Right granted FG FF
7 Right ceased/discontinued CD CE
8 Right revived NF NB NZ NG
9 Right maintained LD LZ
10 Renewal or extension of term of right (SPCs) ND
11 Termination of right or application MM MK MZ MA MC ME MF MG
12 Modification of document, specification DZ DC
13 Change of names, addresses TA TB TC TF TG TZ
14 Change of owner, applicant, transfer of right PD PC GB
15 Publication of licensing QB QF GD GZ
16 Fee payment event KZ
17 Administrative event, restoration, requests EZ NA NE DA
18 Appeal to court, opposition event CA CH CZ
19 Miscellaneous event RZ
20 Erratum TK TZ HK HZ HA HB HC HE TH
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Questions?
Thanks for your attention
Willem Lagemaat
wlagemaat@lighthouseip.com
Please contact Lighthouse IP
info@lighthouseip.com