Data webs: new visions for research data on the Web
Wednesday, 28 June 2006 10:00 - 18:00Location: Imperial College, London SW7
A Research Information Network workshop
- Handling the scientiﬁc data deluge?
- Making research data more freely available?
- Interoperating between heterogeneous Web databases?
- Exploiting the potential of the Semantic Web and Web 2.0?
This workshop, which attracted about 90 participants, sought to address these issues, with the help of a panel of distinguished speakers from both sides of the Atlantic. The event provided an opportunity to examine and discuss the changing nature of scholarly publication and the use of lightweight Semantic Web and Web 2.0 approaches to improve access to, and interoperability between scientiﬁc research data.
In particular, the workshop developed the concept of Data Webs, a new concept in digital information storage and integration that involve lightweight harvesting of metadata describing distributed data into a central searchable registry. It showed that Data Webs are often a more appropriate means for the publication and integration of research data than the use of centralized databases.
The programme (pdf ﬁle) is available below.
Speakers at the workshop were:
School of Electronics and Computer Science, University of Southampton, UK; joint winner of the ﬁrst Semantic Web Challenge
David Karger Computer Science and Artiﬁcial Intelligence Laboratory, Massachusetts Institute of Technology, USA; developer of the Haystack and Piggy Bank Semantic Web browsers
Andy Seaborne Semantic Web Research Group, Hewlett Packard Research Labs, Bristol, UK; co-developer of the SPARQL query language for RDF and relational databases
Ben Lund Web Publishing Division, Nature Publishing Group, London, UK; co-developer of the Connotea social bookmarking system for scientiﬁc literature, buit on del.icio.us
Peter Mika Business Informatics Group, Faculty of Science, Free University of Amsterdam, Netherlands; winner of the “Best Paper Award” at the 4th International Semantic Web Conference, and developer of new theories to link social networks with ontologies
Philip Bourne Department of Pharmacology, University of California San Diego, USA; Co-director, Protein Data Bank and Editor-in-Chief of PLoS Computational Biology, who questions the distinction between a scientiﬁc journal and a database
Anita de Waard Advanced Technology Group, Elsevier, Amsterdam and Centre for Content and Knowledge Engineering, University of Utrecht, Netherlands; chair of the Reed Elsevier data standards group, and developer of semantic structures for scientiﬁc papers
John Helliwell School of Chemistry, University of Manchester, UK; Professor of Structural Chemistry and specialist in crystallography.
David Shotton Image Bioinformatics Research Group, Department of Zoology, University of Oxford, UK; developer of the BioImage Database and of BioImageWeb, a data web for the integration of published biological image data