Rapid development of Internet and Web technology is changing the state of the art in communication of knowledge, or results of research activities. Particularly, Semantic technology, linked and open data become key enablers for successful and efficient progress in research. At first, I define the research data service (RDS) and discuss typical current and possible future usage scenarios involving RDS. Further, I discuss the state of the art in the areas of semantic service and data annotation and API construction, as well as infrastructural solutions, applicable for RDS realisation. At last, innovative methods of online dissemination, promotion and efficient communication of research are discussed.
TourPack: Packaging and Disseminating Touristic Services with Linked Data and...Anna Fensel
While the touristic service offers become present and bookable in abundance on the ICT communication channels, TourPack aims to build a linked data -empowered system for touristic service packaging. Integrating information from multiple sources and systems
employing linked data as a global information integration platform, and mining from the depths of the “closed” data, the touristic service package production system will be able to cater to creating the most optimal travel experience for the traveler. Further, the service packages will be efficiently published and made bookable to the end consumers via intelligently selected most suitable communication and booking channels: especially the ICT channels with rapidly growing user audiences, such as the social media and the mobile apps.
Empowering user participation with converged semantic servicesAnna Fensel
Slides discussing how semantics empowers community participation. Presented at STI Innsbruck Summit at lake Garda, June 27, 2012. Credits to my present and past employers: STI Innsbruck, FTW, University of Surrey.
Online Marketing with Schema.org and Multi-channel CommunicationAnna Fensel
Based on: Fensel, A., Akbar, Z., Toma, I., Fensel., D. "Bringing Online Visibility to Hotels with Schema.org and Multi-channel Communication", In Information and Communication Technologies in Tourism 2016: Proceedings of the International Conference in Bilbao (ENTER’16), Spain, February 2-5, 2016, pp. 3-16, Springer (2016).
Barberini Analytics is a suite of data mining, analytics, and visualization solutions for analyzing museum data, originally developed by a bachelor student team at the Hasso Plattner Institute (HPI) in collaboration with the Museum Barberini (MuB) in 2019/20.
The project comprises a data mining pipeline that is regularly run on a server and feeds several visualization dashboards that are hosted in a Power BI app. For more information, see also the following resources:
- GitHub: https://github.com/Museum-Barberini-gGmbH/Barberini-Analytics
- Original project description (German): https://www.museum-barberini.com/site/assets/files/1080779/fg_naumann_bp_barberini_2019-20.pdf
- Final press release (German): https://hpi.de/fileadmin/user_upload/hpi/veranstaltungen/2020/Bachelorpodium_2020/Pressemitteilung_BP_2020_Bachelorprojekte/Pressemitteilung_BP2020_Pressemitteilung_FN1_V2.pdf
- Official presentation video aka Bachelorpodium (mirror on YouTube): https://www.tele-task.de/lecture/video/8266/#t=5961 (mirror on YouTube: https://youtu.be/Z8s3fdrzI7c?t=5965)
TourPack: Packaging and Disseminating Touristic Services with Linked Data and...Anna Fensel
While the touristic service offers become present and bookable in abundance on the ICT communication channels, TourPack aims to build a linked data -empowered system for touristic service packaging. Integrating information from multiple sources and systems
employing linked data as a global information integration platform, and mining from the depths of the “closed” data, the touristic service package production system will be able to cater to creating the most optimal travel experience for the traveler. Further, the service packages will be efficiently published and made bookable to the end consumers via intelligently selected most suitable communication and booking channels: especially the ICT channels with rapidly growing user audiences, such as the social media and the mobile apps.
Empowering user participation with converged semantic servicesAnna Fensel
Slides discussing how semantics empowers community participation. Presented at STI Innsbruck Summit at lake Garda, June 27, 2012. Credits to my present and past employers: STI Innsbruck, FTW, University of Surrey.
Online Marketing with Schema.org and Multi-channel CommunicationAnna Fensel
Based on: Fensel, A., Akbar, Z., Toma, I., Fensel., D. "Bringing Online Visibility to Hotels with Schema.org and Multi-channel Communication", In Information and Communication Technologies in Tourism 2016: Proceedings of the International Conference in Bilbao (ENTER’16), Spain, February 2-5, 2016, pp. 3-16, Springer (2016).
Barberini Analytics is a suite of data mining, analytics, and visualization solutions for analyzing museum data, originally developed by a bachelor student team at the Hasso Plattner Institute (HPI) in collaboration with the Museum Barberini (MuB) in 2019/20.
The project comprises a data mining pipeline that is regularly run on a server and feeds several visualization dashboards that are hosted in a Power BI app. For more information, see also the following resources:
- GitHub: https://github.com/Museum-Barberini-gGmbH/Barberini-Analytics
- Original project description (German): https://www.museum-barberini.com/site/assets/files/1080779/fg_naumann_bp_barberini_2019-20.pdf
- Final press release (German): https://hpi.de/fileadmin/user_upload/hpi/veranstaltungen/2020/Bachelorpodium_2020/Pressemitteilung_BP_2020_Bachelorprojekte/Pressemitteilung_BP2020_Pressemitteilung_FN1_V2.pdf
- Official presentation video aka Bachelorpodium (mirror on YouTube): https://www.tele-task.de/lecture/video/8266/#t=5961 (mirror on YouTube: https://youtu.be/Z8s3fdrzI7c?t=5965)
The Power of Linked Data for Government & Healthcare Information Integration3 Round Stones
Government open data strategies aimed at wider access and re-use by entrepreneurs, publishers and the wider US healthcare delivery industry. Presentation to the OMG Standards Community technical workshop on semantics, held in Reston VA on 20-March 2013. Presentation by Bernadette Hyland, CEO 3 Round Stones, Inc and co-chair W3C Government Linked Data Working Group.
Web of Data as a Solution for Interoperability. Case StudiesSabin Buraga
The paper draws several considerations regarding the use of Web of Data (Semantic Web) technologies – such as metadata vocabularies and ontological constructs – to increase the degree of interoperability within distributed systems. A number of case studies are presenting to express the knowledge in a
platform- and programming language-independent manner.
Presented at the IAALD-AFITA-WCCA Conference held in Atsugi (Japan) in August 2008.
The WebRing concept has evolved in the meantime and the resulting service is the CIARD RING, available at: http://ring.ciard.net
A more up-to-date presentation is available here:
http://www.slideshare.net/valeriap/the-ciard-ring-an-infrastructure-for-interoperability-of-agricultural-research-information-services
Web mining is the application of data mining techniques to discover patterns from the World Wide Web. As the name proposes, this is information gathered by mining the web
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
A presentation to RIEP comms leads outlining how social media can be used to support improvement programmes and an overview of how local authorities are using them.
Open Government Data on the Web - A Semantic ApproachPeter Krantz
(upload with permission from Armand Brahaj)
Initiatives of making governmental data open are continuously gaining interest recently. While this presents immense benefits for increasing transparency, the problem is that the data are frequently offered in heterogeneous formats, missing clear semantics that clarify what the data describes. The data are displayed in ways that are not always clearly understandable to a broad range of user communities that need to make informed decisions.
Towards a Big Data Recommender Engine for Online and Offline MarketplacesChristoph Trattner
Recommender systems aim at helping users to find relevant information in an overloaded information space.
Although there are well known methods (Content-based, Collaborative Filtering, Matrix Factorization) and libraries to implement, evaluate and extend recommenders (Apache Mahout, Graphlab, MyMediaLite, among others), the deployment of a real-time recommender from scratch which considers a combination of algorithms and various data sources (e.g., social, transactional, and location) remains unsolved.
In this talk, we report on the challenges towards such a recommender systems in the context of online of offline marketplaces. In particular, we describe our solution in terms of the requirements, the data model and algorithms that allows modularity and extensibility, as well as the system architecture to facilitate the scaling of our approach to big data for online and offline marketplaces.
The Power of Linked Data for Government & Healthcare Information Integration3 Round Stones
Government open data strategies aimed at wider access and re-use by entrepreneurs, publishers and the wider US healthcare delivery industry. Presentation to the OMG Standards Community technical workshop on semantics, held in Reston VA on 20-March 2013. Presentation by Bernadette Hyland, CEO 3 Round Stones, Inc and co-chair W3C Government Linked Data Working Group.
Web of Data as a Solution for Interoperability. Case StudiesSabin Buraga
The paper draws several considerations regarding the use of Web of Data (Semantic Web) technologies – such as metadata vocabularies and ontological constructs – to increase the degree of interoperability within distributed systems. A number of case studies are presenting to express the knowledge in a
platform- and programming language-independent manner.
Presented at the IAALD-AFITA-WCCA Conference held in Atsugi (Japan) in August 2008.
The WebRing concept has evolved in the meantime and the resulting service is the CIARD RING, available at: http://ring.ciard.net
A more up-to-date presentation is available here:
http://www.slideshare.net/valeriap/the-ciard-ring-an-infrastructure-for-interoperability-of-agricultural-research-information-services
Web mining is the application of data mining techniques to discover patterns from the World Wide Web. As the name proposes, this is information gathered by mining the web
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
A presentation to RIEP comms leads outlining how social media can be used to support improvement programmes and an overview of how local authorities are using them.
Open Government Data on the Web - A Semantic ApproachPeter Krantz
(upload with permission from Armand Brahaj)
Initiatives of making governmental data open are continuously gaining interest recently. While this presents immense benefits for increasing transparency, the problem is that the data are frequently offered in heterogeneous formats, missing clear semantics that clarify what the data describes. The data are displayed in ways that are not always clearly understandable to a broad range of user communities that need to make informed decisions.
Towards a Big Data Recommender Engine for Online and Offline MarketplacesChristoph Trattner
Recommender systems aim at helping users to find relevant information in an overloaded information space.
Although there are well known methods (Content-based, Collaborative Filtering, Matrix Factorization) and libraries to implement, evaluate and extend recommenders (Apache Mahout, Graphlab, MyMediaLite, among others), the deployment of a real-time recommender from scratch which considers a combination of algorithms and various data sources (e.g., social, transactional, and location) remains unsolved.
In this talk, we report on the challenges towards such a recommender systems in the context of online of offline marketplaces. In particular, we describe our solution in terms of the requirements, the data model and algorithms that allows modularity and extensibility, as well as the system architecture to facilitate the scaling of our approach to big data for online and offline marketplaces.
Closing plenary: the future of public sector websites #BPCW11Headstar
Closing plenary: 'The future of public sector websites', at Building Perfect Council Websites 11, 14 July 2011 #BPCW11 Speakers: Paul Davidson and Ingrid Koehler
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...Citadelh2020
CITADEL is a H2020 European project that is creating an ecosystem of best practices, tools, and recommendations to transform Public Administrations (PAs) via an inclusive approach in order to provide stakeholders with more efficient, inclusive and citizen-centric services. The CITADEL ecosystem will allow PAs to use what they already know plus new data to implement what really matters to citizens in order to shape and co-create more efficient and inclusive public services. CITADEL innovates by using ICTs to find out why citizens stop using public services, and use this information to re-adjust provision to bring them back in. Also, it identifies why citizens are not using a given public service (due to affordability, accessibility, lack of knowledge, embarrassment, lack of interest, etc.) and, where appropriate, use this information to make public services more attractive, so they start using the services.
The DataTank, a tool designed and developed by IMEC’s IDLab, will be extended to provide the Data Harvesting/Curation/Fusion (DHCF) component of the platform. The DataTank provides an open source, open data platform which not only allows publishing datasets according to standardised guidelines and taxonomies (DCAT-AP), but also transforms the data into a variety of reusable formats. The extension will include an intelligent way of harvesting and fusion of different data sources using semantics and Linked Data mapping technologies developed by IDLab. In the context of CITADEL the new HCF component will enable the visualization and analysis of trends for the usage of public services in European cities, playing a key role in generating personalized recommendations to the citizens as well as to PAs in terms of suggesting improvements to the current suite of public services.
https://twitter.com/Citadelh2020
https://twitter.com/gayane_sedraky
https://twitter.com/imec_int
https://twitter.com/IDLabResearch
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...Gayane Sedrakyan
CITADEL is a H2020 European project that is creating an ecosystem of best practices, tools, and recommendations to transform Public Administrations (PAs) via an inclusive approach in order to provide stakeholders with more efficient, inclusive and citizen-centric services. The CITADEL ecosystem will allow PAs to use what they already know plus new data to implement what really matters to citizens in order to shape and co-create more efficient and inclusive public services. CITADEL innovates by using ICTs to find out why citizens stop using public services, and use this information to re-adjust provision to bring them back in. Also, it identifies why citizens are not using a given public service (due to affordability, accessibility, lack of knowledge, embarrassment, lack of interest, etc.) and, where appropriate, use this information to make public services more attractive, so they start using the services.
The DataTank, a tool designed and developed by IMEC’s IDLab, will be extended to provide the Data Harvesting/Curation/Fusion (DHCF) component of the platform. The DataTank provides an open source, open data platform which not only allows publishing datasets according to standardised guidelines and taxonomies (DCAT-AP), but also transforms the data into a variety of reusable formats. The extension will include an intelligent way of harvesting and fusion of different data sources using semantics and Linked Data mapping technologies developed by IDLab. In the context of CITADEL the new HCF component will enable the visualization and analysis of trends for the usage of public services in European cities, playing a key role in generating personalized recommendations to the citizens as well as to PAs in terms of suggesting improvements to the current suite of public services.
Linked Data Love: research representation, discovery, and assessment
#ALAAC15
The explosion of linked data platforms and data stores over the last five years has been profound – both in terms of quantity of data as well as its potential impact. Research information systems such as VIVO (www.vivoweb.org) play a significant role in enabling this work. VIVO is an open source, Semantic Web-based application that provides an integrated, searchable view of the scholarly activities of an organization. The uniform semantic structure of VIVO-ISF data enables a new class of tools to advance science. This presentation will provide a brief introduction and update to VIVO and present ways that this semantically-rich data can enable visualizations, reporting and assessment, next-generation collaboration and team building, and enhanced multi-site search. Libraries are uniquely positioned to facilitate the open representation of research information and its subsequent use to spur collaboration, discovery, and assessment. The talk will conclude with a description of ways librarians are engaged in this work – including visioning, metadata and ontology creation, policy creation, data curation and management, technical, and engagement activities.
Kristi Holmes, PhD
Director, Galter Health Sciences Library
Director of Evaluation, NUCATS
Associate Professor, Preventive Medicine-Health and Biomedical Informatics
Northwestern University Feinberg School of Medicine
Linked Data for the Masses: The approach and the SoftwareIMC Technologies
Title: Linked Data for the Masses: The approach and the Software
@ EELLAK (GFOSS) Conference 2010
Athens, Greece
15/05/2010
Creator: George Anadiotis (R&D Director)
This slide deck has been prepared for a workshop on Linked Data Publishing and Semantic Processing using the Redlink platform (http://redlink.co). The workshop delivered at the Department of Information Engineering, Computer Science and Mathematics at Università degli Studi dell'Aquila aimed at providing a general understanding of Semantic Web Technologies and how these can be used in real world use cases such as Salzburgerland Tourismus.
A brief introduction has been also included on MICO (Media in Context) a European Union part-funded research project to provide cross-media analysis solutions for online multimedia producers.
A BASILar Approach for Building Web APIs on top of SPARQL EndpointsEnrico Daga
Presented at #SALAD2015
The heterogeneity of methods and technologies to publish open data is still an issue to develop distributed systems on the Web. On the one hand, Web APIs, the most popular approach to offer data services, implement REST principles, which focus on addressing loose coupling and interoperability issues. On the other hand, Linked Data, available through SPARQL endpoints, focus on data integration between distributed data sources. We proposes BASIL, an approach to build Web APIs on top of SPARQL endpoints, in order to benefit of the advantages from both Web APIs and Linked Data approaches. Compared to similar solution, BASIL aims on minimising the learning curve for users to promote its adoption. The main feature of BASIL is a simple API that does not introduce new specifications, formalisms and technologies for users that belong to both Web APIs and Linked Data communities.
Analytical Innovation: How to Build the Next Generation Data PlatformVMware Tanzu
There was a time when the Enterprise Data Warehouse (EDW) was the only way to provide a 360-degree analytical view of the business. In recent years many organizations have deployed disparate analytics alternatives to the EDW, including: cloud data warehouses, machine learning frameworks, graph databases, geospatial tools, and other technologies. Often these new deployments have resulted in the creation of analytical silos that are too complex to integrate, seriously limiting global insights and innovation.
Join guest speaker, 451 Research’s Jim Curtis and Pivotal’s Jacque Istok for an interactive discussion about some of the overarching trends affecting the data warehousing market, as well as how to build a next generation data platform to accelerate business innovation. During this webinar you will learn:
- The significance of a multi-cloud, infrastructure-agnostic analytics
- What is working and what isn’t, when it comes to analytics integration
- The importance of seamlessly integrating all your analytics in one platform
- How to innovate faster, taking advantage of open source and agile software
Speakers: James Curtis, Senior Analyst, Data Platforms & Analytics, 451 Research & Jacque Istok, Head of Data, Pivotal
Web scale Discovery services are becoming the most sought after solution for Libraries to connect its patrons with the relevant information they seek. Many studies show that these services are getting wide acceptance from users as well as Library staff and making revolution in Library Information retrieval arena. Given such broad implications, selecting a new discovery service for libraries is an important undertaking. Library professionals should carefully evaluate options to meet their goal of finding the best potential match for their library. This Paper attempts to provide a comprehensive overview of Library Web Scale Discovery solutions by depicting various facets of Web Scale Discovery, how it differs from federated searching and highlights the important parameters to be considered for taking an informed and confident decision on selecting discovery service.
Similar to Towards Semantic APIs for Research Data Services (Invited Talk) (20)
Smart Data for Behavioural Change: Towards Energy Efficient BuildingsAnna Fensel
“The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation.” - this statement of Tim Berners-Lee has gained even more relevance since the start of this century.
The humanity is rapidly developing and persistently experiencing local and global challenges, such as global warming/climate change, dis-balances in demand and supply, among many others. Mastering most (if not all) of them require a behavior change. Behavioral change is difficult to achieve per se, and it is important that technology – as a major enabler - has a positive rather than a negative impact here.
Further, the dramatic growth of data volumes (Big Data, Internet of Things) and the data’s increased power and impact and on the people's daily lives are calling for new types, practices and policies of behavior with data.
These factors made the role of semantic technology even more crucial: in terms of providing a well-defined meaning, and eventually delivering Smart Data for a functional and fair data value chain.
Addressing the behavioural change with Smart Data, I discuss potential ICT solutions investigating the domain of energy efficient buildings. Particularly, our completed OpenFridge experiment will be presented: design and development of the Internet of Things data system with semantic and data analytics enablers for building new services on a top of typical home appliance data — in particular, refrigerators. The system has been evaluated with real life end-user pilots.
In conclusions, I overview our related ongoing work, namely, in the areas of the impact of Big Data on society and related research roadmapping (linking to sociology), personalized energy efficiency data management services in buildings (linking to psychology), and semantic data licensing (linking to law).
Big data impact on society: a research roadmap for Europe (BYTE project resea...Anna Fensel
With its rapid growth and increasing adoption, big data is producing a growing impact in society. Its usage is opening both opportunities such as new business models and economic gains and risks such as privacy violations and discrimination. Europe is in need of a comprehensive strategy to optimise the use of data for a societal benefit and increase the innovation and competitiveness of its productive activities. In this paper, we contribute to the definition of this strategy with a research roadmap that considers the positive and negative externalities associated with big data, maps research and innovation topics in the areas of data management, processing, analytics, protection, visualisation, as well as non-technical topics, to the externalities they can tackle, and provides a time frame to address these topics.
Selecting Ontologies and Publishing Data of Electrical Appliances: A Refrige...Anna Fensel
Application scenarios for the data generated from the Internet of Things are on the rise. For example, given the appliances’ energy consumption data, energy measurement tools now make it possible to save energy whilst efficiently controlling the consumption of different household devices. Yet, when the precise structured data describing appliance models is missing, it is difficult for such application scenarios to be realized. The developed OpenFridge ontology defines a basic vocabulary for the domain of measuring a refrigerator’s energy consumption, showing that the needed ontology schemata are already in place, but need to be identified and skillfully applied. Further, the ontology has been populated from the Web using data scraping, and the created dataset semantically describing the specifics of 1032 refrigerator models with 18665 triples, make these valuable assets for the development of further applications.
Context Based Adaptation of Semantic Rules in SmartBuildingsAnna Fensel
presentation of the paper:
Kumar, V., Fensel, A., Fröhlich, P. “Context Based Adaptation of Semantic
Rules in Smart Buildings”. In Proceedings of the 15th ACM International
Conference on Information Integration and Web-based Applications &
Services (iiWAS2013), ACM, 2-4 December 2013, Vienna, Austria.
BEYOND ENERGY EFFICIENT SMART BUILDINGSAnna Fensel
On November 27, 2012, FTW hosted the event "Research Highlights Energy". In addition to statements of Andrea Edelmann, EVN, and Catrin Haider, BMVIT, FTW researchers presented research results out of a total of 6 research projects in the Energy field. Gallery: http://www.ftw.at/news/ftw-event-research-highlights-energy
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Delivering Micro-Credentials in Technical and Vocational Education and TrainingAG2 Design
Explore how micro-credentials are transforming Technical and Vocational Education and Training (TVET) with this comprehensive slide deck. Discover what micro-credentials are, their importance in TVET, the advantages they offer, and the insights from industry experts. Additionally, learn about the top software applications available for creating and managing micro-credentials. This presentation also includes valuable resources and a discussion on the future of these specialised certifications.
For more detailed information on delivering micro-credentials in TVET, visit this https://tvettrainer.com/delivering-micro-credentials-in-tvet/
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
2. • Motivation and Introduction to Research Data Service (RDS)
• Modeling RDS
• Managing and programming RDS
• Disseminating RDS
• Conclusions
Outline
2016 www.sti-innsbruck.at 2
3. • Motivation and Introduction to Research Data Service (RDS)
• Modeling RDS
• Managing and programming RDS
• Disseminating RDS
• Conclusions
Outline
2016 www.sti-innsbruck.at 3
4. • Acceptance of the open science* principle entails open access not
only to research data but also to tools that allow researchers to
perform various types of activities over these data including mining,
visualization, and analysis.
• Research Data Services (RDSs) enable researchers to conduct
efficiently and effectively their research activities.
• One of the challenges faced by researchers, in a globally networked
scientific world, is to be able to locate RDSs that fulfill their research
needs. By Research Data Service Discoverability we mean the
capability of automatically locating research data services that fulfill a
researcher goal.
• Making a RDS discoverable should enables the service (re-)use.
* https://ec.europa.eu/digital-single-market/en/open-science
Motivation
2016 www.sti-innsbruck.at 4
5. Research Data Service (RDS):
•is a subclass of Service in a general sense
(it has a service provider and service
consumer, added value,…),
•is a data service, part of data economy,
•applicable in scenarios implementing some
part of research process,
•may be delivered by a program/IT system,
but also via other means e.g. a human.
What is a “Research Data Service”?
2016 www.sti-innsbruck.at 5
Wikipedia: Research comprises
"creative work undertaken on a
systematic basis in order to
increase the stock of knowledge,
including knowledge of humans,
culture and society, and
the use of this stock of knowledge
to devise new applications."
Wikipedia: Research comprises
"creative work undertaken on a
systematic basis in order to
increase the stock of knowledge,
including knowledge of humans,
culture and society, and
the use of this stock of knowledge
to devise new applications."
6. Definition at an abstract level: a “research data service is a rule of
correspondence between two sets”, or
“A Concrete Research Data Tool on which there exists an Institutional
Commitment in the form of a Service-Level Agreement.”.
These and more definitions are to be comprehensively presented at “White paper on
Research Data Service Discoverability” of the RDA Europe project (European Union’s
Horizon 2020 research and innovation programme) – ongoing work.
What is a “Research Data Service”?
2016 www.sti-innsbruck.at 6
7. • Web services are essentially a programmatic layer on top of
distributed systems.
• Research Data Service is defined in this presentation earlier.
– So it may or may not be implemented as Web service.
– And has specific characteristics related to research.
Differences between a Research Data
Service and a Web Service
2016 www.sti-innsbruck.at 7
8. • Motivation and Introduction to Research Data Service (RDS)
• Modeling RDS
• Managing and programming RDS
• Disseminating RDS
• Conclusions
Outline
2016 www.sti-innsbruck.at 8
9. Applicable to RDS: Web Service properties
• Functional
– contains the formal specification of what exactly the
service can do.
• Behavioral
– how the functionality of the service can be achieved
in terms of interaction with the service and as well in
terms of functionality required from the other Web
services.
• Non-functional properties
– captures constraints over the previous mentioned
properties.
10. Applicable to RDS: Web Service related tasks
• Discovery: “Find services that matches to the service requester
specification” .
• Selection and Ranking: “Choose the most appropriate services among the
available ones”
• Composition: “Assembly of services based in order to achieve a given goal
and provide a higher order of functionality”.
• Mediation: “Solve mismatches among domain knowledge used to describe
the services, protocols used in the communication, data exchanged in the
interaction (types used, and meaning of the information) and business
models of the different parties”.
• Execution: “Invocation of a concrete set of services, arranged in a
particular way following programmatic conventions that realizes a given
task”.
• Monitoring: “Supervision of the correct execution of services and dealing
with exceptions thrown by composed services or the composition workflow
itself”.
• Handover: “Replacement of services by equivalent ones, which solely or in
combination can realize the same functionality as the replaced one, in case
of failure while execution”.
11. • Going mainstream: schema.org
• Linked Open Data cloud counts
25 billion triples
• Open government initiatives
• BBC, Facebook, Google, Yahoo,
etc. use semantics
• SPARQL becomes W3C
recommendation
• Life science and other scientific
communities use ontologies
• RDF, OWL become W3C
recommedations
• Research field on ontologies and
semantics appears
• Term „Semantic Web“ has been
„seeded“, Scientific American
article, Tim Berners-Lee et al.
Semantic Web Evolution in One Slide
2008
2001
2010
2004 Source: Open Knowledge Foundation
12. 5-star Linked OPEN Data: Applicable
to Any, also Research Data
★ Available on the web (whatever
format) but with an open lisence, to
be Open Data
★★ Available as machine-readable
structured data (e.g. excel instead of
image scan of a table)
★★★ as (2) plus non-proprietary
format (e.g. CSV instead of excel)
★★★★ All the above plus, Use open
standards from W3C (URIs, RDF and
SPARQL) to identify things, so that
people can point at your stuff
★★★★★ All the above, plus: Link
your data to other people’s data to
provide context
13. What is Schema.org?
• Schema.org provides a collection of shared vocabularies.
• Launched in June 2011 by Bing, Goolge and Yahoo
• Yandex joins in November
• Purpose:
Create a common set of schemas for webmasters to mark-
up with structured data their websites.
13
14. Motivation: What for?
1) Lead to the generation of rich snippets in search engine results more
attractive for the users
14
14
15. Motivation: What for?
2) Query/Answer based Search Engine
•Semantic Search
•Making use of structured data, the search engine can understand the
content of your web site and make use of it to give a more accurate
search result.
15
15
16. Advantages
• Webmasters can use schema.org to mark up their web
pages (creating enriched snippets) in a way that is
recognized by major search engines.
• The enriched snippets enable search engines to
understand the information on web pages that results
in richer and more attractive search results for the
users Easier for users to find relevant and right
information on the web.
• Search engines including Bing, Google, Yahoo! and
Yandex rely on this markup to improve the display of
search results.
• Helps webmasters to rank higher in search results
• This markup has the potential to enhance the CTR
(click through ratio) from the search results from
anywhere between 10-25%. 16
17. Advantages
• Schema.org can be also used for structured data
interoperability.
• Its usage can also lead to the development of new tools, for
example Google Recipe Search, which may open up other
marketing channels if not now, in the near future.
• Obviously also relevant for RDS.
Information from: http://builtvisible.com/micro-data-schema-org-guide-generating-rich-snippets/#schemaorg
17
18. Input:
•Aim of the task/part of the research process to be executed (goal),
•Context and implementation restrictions (functional and non-functional
properties):
– Domain, QoS, scalability, price...
Output:
•Information, data,
•Research process step completed,
•Knowledge (if e.g. the service has a human in the loop),
•Change of state (can be intangible).
Metadata semantics needed for the
description of the “input set” (domain) and
the “output set” (co-domain)
2016 www.sti-innsbruck.at 18
19. • In “ideal” world, yes.
• Also yes in perspective, as the amount of research data services
increased & research steering service economy tends to be more
interdisciplinary.
– It becomes more difficult to identify and find relevant services.
• In real world however, simpler things and models spread better.
– E.g. programmableweb still does not have semantic descriptions for
service APIs
• Yet, here is a clear progressive usage potential here, as the research
community is a good choice to be early adopters.
Do we need to specify the syntax and
semantics of the elements of the
domain and co-domain?
2016 www.sti-innsbruck.at 19
20. • A Research Data Service instance definitely changes with time
– E.g. its quality may alter, its non-functional properties change
– Its context and usage vary
– It may appear and disappear
– Its implementation may change
– …
• However, modeling programmatically such state changes is difficult,
and make them widely used is even more difficult.
• Therefore, Research Data Services should be designed as stateless.
RDS: “stateless” or “state-based”?
2016 www.sti-innsbruck.at 20
21. • Aimed dataset or service,
• Scientific discipline,
• Scientific method,
• Domain,
• Information about quantity, quality, availability, creator(s)/provider(s),
• Access and license policies,
• Origin and annotation of reused/subcontracted sources (when
applicable).
(Some – even all - of the above can be optional.)
Examples:
• “compare performance of my semantic repository at criteria X”,
• “find datasets with energy consumption of fridges in Vienna”.
What should be included in a RDS profile
in order to appropriately describe its
functionality?
2016 www.sti-innsbruck.at 21
22. • Possibly e.g. in conjunction with research method description.
– Think BPEL, etc.
Scientific workflows: appropriate for
describing the process model of a
Research Data Service
2016 www.sti-innsbruck.at 22
Basing on an USDL and Linked USDL example,
source: Cardoso, J., Lopes, R., Poels, G. “Service Systems”, Springer, 2014. ISBN 978-3-319-10813-1.
23. • Motivation and Introduction to Research Data Service (RDS)
• Modeling RDS
• Managing and programming RDS
• Disseminating RDS
• Conclusions
Outline
2016 www.sti-innsbruck.at 23
24. • In most cases existing service description frameworks like
OWL-S and WSMO are too complex, except.
– In genetics, for example, some data annotations are made
using OWL, and building a service on top of it would be a
natural extension.
• But in many cases it would not be the best choice.
– Most data are not shared on the Web with OWL, in
particular.
– OWL is too complex and too expressive.
• Using real data in research more essential, so eventually
the frameworks in which the real data mostly is, are
important, so eventually linked (open) data, schema.org
Using Semantic Web Services for RDS?
2016 www.sti-innsbruck.at 24
25. An Option: Applying Linked Service
System (LSS) Model Structure
Source: Cardoso, J., Lopes, R., Poels, G. “Service Systems”, Springer, 2014. ISBN 978-3-319-10813-1.
26. LSS Implementation Example
- Goals
Source: Cardoso, J., Lopes, R., Poels, G. “Service Systems”, Springer, 2014. ISBN 978-3-319-10813-1.
27. LSS Implementation Example
- Locations
Source: Cardoso, J., Lopes, R., Poels, G. “Service Systems”, Springer, 2014. ISBN 978-3-319-10813-1.
28. • Presence of the ways to annotate the functionality, domain,…
• Assumption of “incorrectness and incompleteness” (LarKC project),
• Much of matchmaking and reasoning should be moved to the
applications – but: semantics can support maintenance of community-
generated reusable mapping (e.g. stating that two service parts are
the same).
Main characteristics and capabilities of a
knowledge representation language
appropriate for the description of the
functionality of a data service as well as
for effectively supporting reasoning in the
matchmaking process
2016 www.sti-innsbruck.at 28
29. • Possible assuming a non 100% performance and a human in the loop.
Example: ongoing STI’s PhD of Ioannis Stavrakantonakis (winner of Netidee
scholarship 2015 as one of the best Internet-related dissertations in
Austria)
Towards Automatic Matching of APIs
2016 www.sti-innsbruck.at 29
30. Modeling manually
even simple domain and web page takes time
Suggesting terms speed up the process:
LOV: vocabulary ranking for different
domains
2016 www.sti-innsbruck.at 30
More at: Stavrakantonakis, I., Fensel, A., & Fensel, D. (2015, November).
Linked Open Vocabulary Recommendation Based on Ranking and Linked Open Data.
In Joint International Semantic Technology Conference (pp. 40-55).
Springer International Publishing.
31. We need it, particularly because:
• Data sets vary from domain to domain, and often the research is
domain specific,
• Eases discoverability.
Also in agreement with other trends in the area e.g. microservices.
Discipline-specific classification of data
services (classes of data services) supported
by discipline-specific ontologies
2016 www.sti-innsbruck.at 31
Danado, J., Davies, M., Ricca, P., & Fensel, A. (2010).
An authoring tool for user generated mobile services.
In Future Internet-FIS 2010 (pp. 118-127).
Springer Berlin Heidelberg.
Davies, M., Carrez, F., Heinilä, J., Fensel, A.,
Narganes, M., & Carlos dos Santos Danado, J. (2011).
m: Ciudad: enabling end-user mobile service creation.
International Journal of Pervasive Computing and
Communications, 7(4), 384-414.
32. • A single point to make services discovered.
– A meta- Research Data Service in itself.
• Ideologically like UDDI, or like programmableweb for Web APIs now.
On the role and architecture of
Registries/Directories/Catalogs of
Services
2016 www.sti-innsbruck.at 32
33. • By data, by domain, by functionality,…
• The classifications do not have to be created apriori, but could be
created ad hoc once the annotations are there – not to restrict the
usage.
• De facto seem to be classified by provider platforms e.g. in area:
How to classify RDS? “stateless/state-
based”, “type of input data: discrete
data/vectors/functions/streaming data”,
“types of output data”, etc.
2016 www.sti-innsbruck.at 33
For publications –
numerous
repositories
e.g. from
publishers,
Zenodo,
GoogleScholar
34. • It is a necessity and a criterion.
• But the situation when the citations number is decisive in the ranking
(e.g. how Google Scholar does – most cited on top) is not optimal, as
such search may overlook data with a closest match, and the output
itself also impacts citations.
Is “citation” instrumental in making
research data service discoverable?
2016 www.sti-innsbruck.at 34
Matthew 25:29
New American Standard Bible
"For to everyone who has, more shall be given, and he will have an abundance;
but from the one who does not have, even what he does have shall be taken away.
Matthew 25:29
New American Standard Bible
"For to everyone who has, more shall be given, and he will have an abundance;
but from the one who does not have, even what he does have shall be taken away.
35. • Motivation and Introduction to Research Data Service (RDS)
• Modeling RDS
• Managing and programming RDS
• Disseminating RDS
• Conclusions
Outline
2016 www.sti-innsbruck.at 35
36. • Research is disseminated nowadays also via social media
• Social media is arguably used by young generations more commonly
than email
• There are many social media channels allowing research
communication existing, to name a few:
– ResearchGate
– Academia.edu
– Google Scholar
– SlideShare
– …
• ONLIM is a start-up of STI Innsbruck delivering a solution to efficient
dissemination on social media, based on semantics (schema.org)
• ONLIM is available as a tool at www.onlim.com
The world is multi-channel now: being
present everywhere to be seen
2016 www.sti-innsbruck.at 36
42. Data licensing
2016 www.sti-innsbruck.at 42
Image from DALICC consortium: FH St Pölten, STI Innsbruck, WU Wien,
Semantic Web Company, Höhne i. d. Maur & Partner Rechtsanwälte OG
Data licensing is still complicated, formats for automated licensed data use are under-defined.
Semantic standards for license development are in progress e.g. ODRL, RightsML.
A new project delivering a support system for data licensing is funded in this year‘s FFG
Ikt der Zukunft call, named DALICC: Data Licences Clearance Center.
43. • Motivation and Introduction to Research Data Service (RDS)
• Modeling RDS
• Managing and programming RDS
• Disseminating RDS
• Conclusions
Outline
2016 www.sti-innsbruck.at 43
44. • Research Data Services are data services, and surely belong to the
data service value chain.
• There exist promising semantic languages and technologies to be
applied to solutions of RDS modeling and discovery problems e.g.
linked services, linked data, schema.org.
• Efficient dissemination of research is very important. Also
dissemination needs to multi-channel now, and new kind of channels
appear e.g. social media.
• Relevant data value chain techniques and tools are in development
e.g. on (semantic) data licensing.
• See more of smart data development at
Summary
2016 www.sti-innsbruck.at 44
29-30 June 2016, 12-15 September 2016,
Eindhoven Leipzig
45. • C. Thanos (2014) Mediation: The Technological Foundation of
Modern Science. Data Science Journal, Vol.13, pp.88–105. DOI:
10.2481/dsj.14-016
• T. Gruber, “Towards Principles for the Design of Ontologies Used for
Knowledge Sharing” in “Formal Ontology in Conceptual Analysis and
Knowledge Representation”, Technical Report KSL 93-04,
Knowledge Systems Laboratory, Stanford University.
• D. Fensel, F. Facca, E. Simperl and I.Toma. Semantic Web Services
Textbook, Springer, 2011.
• Silvio Peroni, Alexander Dutton, Tanya Gray, David Shotton (2015).
Setting our bibliographic references free: towards open citation data.
Journal of Documentation, 71 (2): 253-277.
http://dx.doi.org/10.1108/JD-12-2013-0166
• Fensel, A., Toma, I., García, J. M., Stavrakantonakis, I., & Fensel, D.
(2014). Enabling customers engagement and collaboration for small
and medium-sized enterprises in ubiquitous multi-channel
ecosystems. Computers in Industry, 65(5), 891-904.
References
2016 www.sti-innsbruck.at 45
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