00499nas a2200157 4500008004100000245005700041210005400098260001500152300002300167100002000190700002200210700001800232700003100250700002300281856003700304 2012 eng d00aOWL 2 Web Ontology Language: Primer (Second Edition)0 aOWL 2 Web Ontology Language Primer Second Edition c12/11/2012 aW3C Recommendation1 aHitzler, Pascal1 aKrötzsch, Markus1 aParsia, Bijan1 aPatel-Schneider, Peter, F.1 aRudolph, Sebastian uhttp://www.w3.org/TR/owl2-primer02232nas a2200289 4500008004100000245009000041210006900131260003900200300001200239490000900251520133400260100001801594700001901612700001701631700002701648700002001675700002001695700001601715700002301731700002101754700003101775700001801806700002601824700002401850700001801874856005001892 2011 eng d00aContextual Ontology Alignment of LOD with an Upper Ontology: A Case Study with Proton0 aContextual Ontology Alignment of LOD with an Upper Ontology A Ca aHeraklion, Crete, GreecebSpringer a80–920 v66433 a
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.
1 aJain, Prateek1 aYeh, Peter, Z.1 aVerma, Kunal1 aVasquez, Reymonrod, G.1 aDamova, Mariana1 aHitzler, Pascal1 aSheth, Amit1 aAntoniou, Grigoris1 aGrobelnik, Marko1 aSimperl, Elena, Paslaru Bo1 aParsia, Bijan1 aPlexousakis, Dimitris1 aDe Leenheer, Pieter1 aPan, Jeff, Z. uhttp://dx.doi.org/10.1007/978-3-642-21034-1_600419nas a2200157 4500008004100000245002500041210002500066250000600091260001300097300001200110100002000122700001800142700001900160700001700179856006500196 2009 eng d00aOntologies and Rules0 aOntologies and Rules a2 bSpringer a111-1321 aHitzler, Pascal1 aParsia, Bijan1 aStaab, Steffen1 aStuder, Rudi uhttps://daselab.cs.ksu.edu/publications/ontologies-and-rules00485nas a2200157 4500008004100000245004000041210003900081260001500120300002300135100002000158700002200178700001800200700003100218700002300249856005500272 2009 eng d00aOWL 2 Web Ontology Language: Primer0 aOWL 2 Web Ontology Language Primer c10/27/2009 aW3C Recommendation1 aHitzler, Pascal1 aKrötzsch, Markus1 aParsia, Bijan1 aPatel-Schneider, Peter, F.1 aRudolph, Sebastian uhttp://www.w3.org/TR/2009/REC-owl2-primer-20091027