TY - CONF T1 - Contextual Ontology Alignment of LOD with an Upper Ontology: A Case Study with Proton T2 - The Semantic Web: Research and Applications - 8th Extended Semantic Web Conference, ESWC 2011 Y1 - 2011 A1 - Prateek Jain A1 - Peter Z. Yeh A1 - Kunal Verma A1 - Reymonrod G. Vasquez A1 - Mariana Damova A1 - Pascal Hitzler A1 - Amit Sheth ED - Grigoris Antoniou ED - Marko Grobelnik ED - Elena Paslaru Bontas Simperl ED - Bijan Parsia ED - Dimitris Plexousakis ED - Pieter De Leenheer ED - Jeff Z. Pan AB -

The Linked Open Data (LOD) is a major milestone towards realizing the Semantic Web vision, and can enable applications such as robust Question Answering (QA) systems that can answer queries requiring multiple, disparate information sources. However, realizing these applications requires relationships at both the schema and instance level, but currently the LOD only provides relationships for the latter. To address this limitation, we present a solution for automatically finding schema-level links between two LOD ontologies – in the sense of ontology alignment. Our solution, called BLOOMS+, extends our previous solution (i.e. BLOOMS) in two significant ways. BLOOMS+ 1) uses a more sophisticated metric to determine which classes between two ontologies to align, and 2) considers contextual information to further support (or reject) an alignment. We present a comprehensive evaluation of our solution using schema-level mappings from LOD ontologies to Proton (an upper level ontology) – created manually by human experts for a real world application called FactForge. We show that our solution performed well on this task. We also show that our solution significantly outperformed existing ontology alignment solutions (including our previously published work on BLOOMS) on this same task.

JF - The Semantic Web: Research and Applications - 8th Extended Semantic Web Conference, ESWC 2011 PB - Springer CY - Heraklion, Crete, Greece VL - 6643 UR - http://dx.doi.org/10.1007/978-3-642-21034-1_6 ER -