%0 Conference Paper %B 13th International Semantic Web Conference (ISWC 2014) %D 2014 %T Conference v2.0: An uncertain version of the OAEI Conference benchmark %A Michelle Cheatham %A Pascal Hitzler %E Peter Mika %E Tania Tudorache %E Abraham Bernstein %E Chris Welty %E Craig A. Knoblock %E Denny Vrandecic %E Paul T. Groth %E Natasha F. Noy %E Krzysztof Janowicz %E Carole A. Goble %K benchmark %K OAEI %K Ontology Alignment %X The Ontology Alignment Evaluation Initiative is a set of benchmarks for evaluating the performance of ontology alignment systems. In this paper we re-examine the Conference track of the OAEI, with a focus on the degree of agreement between the reference alignments within this track and the opinion of experts. We propose a new version of this benchmark that more closely corresponds to expert opinion and confidence on the matches. The performance of top alignment systems is compared on both versions of the benchmark. Additionally, a general method for crowdsourcing the development of more benchmarks of this type using Amazon’s Mechanical Turk is introduced and shown to be scalable, cost-effective and to agree well with expert opinion. %B 13th International Semantic Web Conference (ISWC 2014) %I Lecture Notes in Computer Science, Springer %C Riva del Garda, Italy %V 8797 %P 148-163 %8 10/2014 %G eng %0 Conference Paper %B The Semantic Web - ISWC 2010 - 9th International Semantic Web Conference, ISWC 2010 %D 2010 %T Ontology Alignment for Linked Open Data %A Prateek Jain %A Pascal Hitzler %A Amit Sheth %A Kunal Verma %A Peter Z. Yeh %E Peter F. Patel-Schneider %E Yue Pan %E Pascal Hitzler %E Peter Mika %E Lei Zhang %E Jeff Z. Pan %E Ian Horrocks %E Birte Glimm %X

The Web of Data currently coming into existence through the Linked Open Data (LOD) effort is a major milestone in realizing the Semantic Web vision. However, the development of applications based on LOD faces difficulties due to the fact that the different LOD datasets are rather loosely connected pieces of information. In particular, links between LOD datasets are almost exclusively on the level of instances, and schema-level information is being ignored. In this paper, we therefore present a system for finding schema-level links between LOD datasets in the sense of ontology alignment. Our system, called BLOOMS, is based on the idea of bootstrapping information already present on the LOD cloud. We also present a comprehensive evaluation which shows that BLOOMS outperforms state-of-the-art ontology alignment systems on LOD datasets. At the same time, BLOOMS is also competitive compared with these other systems on the Ontology Evaluation Alignment Initiative Benchmark datasets.

%B The Semantic Web - ISWC 2010 - 9th International Semantic Web Conference, ISWC 2010 %I Springer %C Shanghai, China %V 6496 %P 402–417 %G eng %U http://dx.doi.org/10.1007/978-3-642-17746-0_26 %R 10.1007/978-3-642-17746-0_26 %0 Conference Proceedings %B 9th International Semantic Web Conference, ISWC 2010 %D 2010 %T The Semantic Web - ISWC 2010. 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I %E Peter F. Patel-Schneider %E Yue Pan %E Pascal Hitzler %E Peter Mika %E Lei Zhang %E Jeff Z. Pan %E Ian Horrocks %E Birte Glimm %B 9th International Semantic Web Conference, ISWC 2010 %I Springer %C Shanghai, China %V 6496 %G eng %0 Conference Proceedings %B 9th International Semantic Web Conference, ISWC 2010 %D 2010 %T The Semantic Web - ISWC 2010. 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part II %E Peter F. Patel-Schneider %E Yue Pan %E Pascal Hitzler %E Peter Mika %E Lei Zhang %E Jeff Z. Pan %E Ian Horrocks %E Birte Glimm %B 9th International Semantic Web Conference, ISWC 2010 %I Springer %C Shanghai, China %V 6497 %G eng