Knowledge Organization and Semantic Web
Â in conjunction with the general assembly of the German ISKO e.V.
In conjunction with
Extended Deadline: July 28
Â Knowledge organization is a discipline with a long standing tradition. Traditional knowledge organization focusses on the description and organization of knowledge in libraries, archives, databases, scientific domains, etc. With modern communication techniques users expect knowledge to be available and instantly accessible from different sources, different disciplines and different sectors of society. Thus traditional knowledge organization is confronted with new requirements regarding structured and flexible knowledge representations that support knowledge discovery from disparate sources and inferencing over the many pieces of information. This requires also syntactic and semantic interoperability.
The goal of the Semantic Web is precisely to connect knowledge from different sources. Thus knowledge organization and Semantic Web technologies must be complementary and rely on each other. Moreover, formalisms, like OWL and RDF, that have their roots in the Semantic Web, have, for now, become standards for knowledge representation.
The workshop aims at improving the exchange of ideas between the different communities involved in the research on knowledge organization and the Semantic Web. Our goal is to bring together researchers and practitioners that are working on theoretical and practical issues related to knowledge organization, interoperability of knowledge sources, linked data, and the Semantic Web, in order to initiate discussions on the different requirements and challenges coming with global availability of data sources. The workshop thus might contribute to the identification of future research directions and foster the development of the discipline known as knowledge organization.
Topics of interest include, but are not limited, to the following aspects:
- Knowledge Representation and Data Modeling for the Semantic Web
- Organization of Linked Data
- Knowledge Organization Systems for Knowledge Discovery in Very Large Datasets (big data)
- Knowledge Organization Systems for Understanding, Sensemaking, and Learning by People
- Knowledge Organization Systems for Understanding, Sensemaking, and Learning by Systems
- Knowledge Representation
- Classification Schemes, Taxonomies, and Categorization Schemes
- Thesauri, Semantic Networks and Ontologies
- Engineering and Management Aspects of Knowledge Organization
- Knowledge Modeling and Engineering
- Organization of Unstructured Information
- Web Indexing and Social Tagging
- Automatic Categorization and Indexing
- Intelligent Information Extraction, Generic or Domain-specific
- Knowledge exchange, standardization and interoperability
- Knowledge Organization for the Future.
Accepted papers might be published online in a volume of the CEUR workshop proceedings.
Anna Garcia Serrano, UNED (Madrid, Spain)
- Ernesto William De Luca, Potsdam University of Applied Sciences, Germany
- Christian Wartena, Hochschule Hannover, Germany
- Jutta Bertram, Hochschule Hannover, Germany
- Stephan BĂĽttner, Potsdam University of Applied Science, Germany
- Angel Castellanos Gonzalez, UNED, Madrid, Spain
- Juan M. Cigarran, UNED, Madrid, Spain
- Ana Garcia-Serrano, UNED, Madrid, Spain
- Aldo Gangemi, CNR, Italy
- Hans-Christoph Hobohm, Potsdam University of Applied Science, Germany
- Andreas Hotho, UniversitĂ¤t WĂĽrzburg, Germany
- Antoine Isaac, VU University, Amsterdam and Koninklijke Bibliotheek, The Hague, The Netherlands
- Bernd JĂ¶rs, Hochschule Darmstadt, Germany
- Ivo Keller, Potsdam University of Applied Science, Germany
- Christian Mader, TU Wien, Austria
- Peter Ohly, Gesis, KĂ¶ln, Germany
- Vivien Petras, Humboldt-UniversitĂ¤t zu Berlin, Germany
- Sahbi Sidhom, UniversitĂ© de Lorraine, Nancy, France
- Richard Smiraglia,Â University of Wisconsin, Milwaukee, USA
- Dagobert Soergel, University of Maryland, College Park, USA
- Armando Stellato, University of Tor Vergata, Rome, Italy
- Rosa Tsegaye, Hochschule Hannover, Germany
- Karsten Weber, Brandenburgische Technische UniversitĂ¤t, Cottbus, Germany
- Benjamin Zapilko, Gesis, KĂ¶ln, Germany
Venue: University of Leipzig, Paulinum, Room 509,Augustusplatz 10, 04318 Leipzig
September 1st, 2014
Knowledge Organisation and the Semantic Web
|09:15 â€“ 09:40||Introduction|
|09:40 â€“ 10:30||Keynote: Anna Garcia Serrano, UNED (Madrid)
The Role of Knowledge Organization in Social Networks Related Tasks
The kind of contents contained in Social Networks as Twitter offer a different scenario for Knowledge Organization. The shortness of the content difficult the identification and representation of the related data and knowledge as well as the performance of specific data organization tasks as in twits classification or filtering, polarity identification and themes/topic detection tasks.
Moreover, during the last yearâ€™s most of the research has to deal with Huge Datasets of raw short text (with severe information gaps) or twits (short text mostly in slang). After the data representation step it is needed to enrich it with extra-Knowledge in order to solve specific tasks in different scenarios as Short News Recommendation, Online Reputation Management , e-Learning or Multimedia Information Retrieval.
Trying to identify a suitable set of techniques and technologies we have developed an experimental framework to support this kind of applied research. One important part of the framework is devoted to the use and adaptation of the Formal Concept Analysis (FCA) theory. In short, FCA is a lattice-based clustering approach that may be used as a powerful tool to automatically organize unstructured data, in order to improve information access and exploratory tasks.
The talk will focus in the application of FCA to Knowledge Organization in some of the scenarios and specific tasks previously worked out, the evaluation of the obtained results (to solve the tasks) and the current open-problems identified.
|10:30 â€“ 11:00||Coffee Break|
|11:00 â€“ 12:30||The application of Linked Data resources for Library Recommender Systems
Improving Data Representation through a Concept-based Knowledge Organization
Angel Castellanos, Ernesto William de Luca, Juan Manuel Cigarran Recuero and Ana Garcia-Serrano
|12:30 â€“ 14:00||Lunch|
|14:00 â€“ 14:30||Representing and organizing scientific knowledge in biomedical articles with Semantic Web technologies
|14:30 â€“ 15:30||Fishbowl Discussion about Knowledge Organisation and Semantic Web|
|15:30 - 16:00||Coffee Break|
|16:00 â€“ 17:30||General Assembly of the German Chapter of the ISKO
Mitgliederversammlung der Deutschen ISKO e.V.