%0 Conference Paper %1 aleman-meza_combining_2007 %A Aleman-Meza, Boanerges %A Bojārs, Uldis %A Boley, Harold %A Breslin, John G. %A Mochol, Malgorzata %A Nixon, Lyndon Jb %A Polleres, Axel %A Zhdanova, Anna V. %B Proceedings of the 4th European conference on The Semantic Web: Research and Applications %C Innsbruck, Austria %D 2007 %I Springer-Verlag %K imported %P 235--250 %T Combining RDF Vocabularies for Expert Finding %U http://portal.acm.org/citation.cfm?id=1419662.1419685&coll=portal&dl=ACM %X This paper presents a framework for the reuse and extension of existing, established vocabularies in the Semantic Web. Driven by the primary application of expert finding, we will explore the reuse of vocabularies that have attracted a considerable user community already (FOAF, SIOC, etc.) or are derived from de facto standards used in tools or industrial practice (such as vCard, iCal and Dublin Core). This focus guarantees direct applicability and low entry barriers, unlike when devising a new ontology from scratch. The Web is already populated with several vocabularies which complement each other (but also have considerable overlap) in that they cover a wide range of necessary features to adequately describe the expert finding domain. Little effort has been made so far to identify and compare existing approaches, and to devise best practices on how to use and extend various vocabularies conjointly. It is the goal of the recently started ExpertFinder initiative to fill this gap. In this paper we present the ExpertFinder framework for reuse and extension of existing vocabularies in the Semantic Web. We provide a practical analysis of overlaps and options for combined use and extensions of several existing vocabularies, as well as a proposal for applying rules and other enabling technologies to the expert finding task. %@ 978-3-540-72666-1

@inproceedings{aleman-meza_combining_2007, abstract = {This paper presents a framework for the reuse and extension of existing, established vocabularies in the Semantic Web. Driven by the primary application of expert finding, we will explore the reuse of vocabularies that have attracted a considerable user community already (FOAF, SIOC, etc.) or are derived from de facto standards used in tools or industrial practice (such as vCard, iCal and Dublin Core). This focus guarantees direct applicability and low entry barriers, unlike when devising a new ontology from scratch. The Web is already populated with several vocabularies which complement each other (but also have considerable overlap) in that they cover a wide range of necessary features to adequately describe the expert finding domain. Little effort has been made so far to identify and compare existing approaches, and to devise best practices on how to use and extend various vocabularies conjointly. It is the goal of the recently started ExpertFinder initiative to fill this gap. In this paper we present the ExpertFinder framework for reuse and extension of existing vocabularies in the Semantic Web. We provide a practical analysis of overlaps and options for combined use and extensions of several existing vocabularies, as well as a proposal for applying rules and other enabling technologies to the expert finding task.}, added-at = {2009-01-12T18:57:22.000+0100}, address = {Innsbruck, Austria}, author = {Aleman-Meza, Boanerges and Bojārs, Uldis and Boley, Harold and Breslin, John G. and Mochol, Malgorzata and Nixon, Lyndon Jb and Polleres, Axel and Zhdanova, Anna V.}, biburl = {https://www.bibsonomy.org/bibtex/2f347e9984023e34210de66f186312ff3/achraf.elghazi}, booktitle = {Proceedings of the 4th European conference on The Semantic Web: Research and Applications}, description = {myBibTex}, interhash = {587bc92df5982a7aab8a846025efe2bc}, intrahash = {f347e9984023e34210de66f186312ff3}, isbn = {978-3-540-72666-1}, keywords = {imported}, pages = {235--250}, publisher = {Springer-Verlag}, timestamp = {2009-01-12T18:57:22.000+0100}, title = {Combining RDF Vocabularies for Expert Finding}, url = {http://portal.acm.org/citation.cfm?id=1419662.1419685\&coll=portal\&dl=ACM}, year = 2007 }