TY - JOUR T1 - AI for Traffic Analytics JF - The IEEE Intelligent Informatics Bulletin Y1 - 2016 A1 - Raghava Mutharaju A1 - Freddy Lécué A1 - Jeff Z. Pan A1 - Jiewen Wu A1 - Pascal Hitzler VL - 17 IS - 1 ER - TY - CONF T1 - Revisiting default description logics – and their role in aligning ontologies T2 - Semantic Technology, 4th Joint International Conference, JIST 2014 Y1 - 2014 A1 - Kunal Sengupta A1 - Pascal Hitzler A1 - Krzysztof Janowicz ED - T. Supnithi ED - T. Yamaguchi ED - Jeff Z. Pan ED - V. Wuwongse ED - M. Buranarach KW - default logic KW - defaults KW - description logics KW - Ontology Alignment AB - We present a new approach to extend the Web Ontology Language (OWL) with the capabilities to reason with defaults. This work improves upon the previously established results on integrating defaults with description logics (DLs), which were shown to be decidable only when the application of defaults is restricted to named individuals in the knowledge base. We demonstrate that the application of defaults (integrated with DLs) does not have to be restricted to named individuals to retain decidability and elaborate on the application of defaults in the context of ontology alignment and ontology-based systems. JF - Semantic Technology, 4th Joint International Conference, JIST 2014 PB - Lecture Notes in Computer Science, Springer CY - Chiang Mai, Thailand VL - 8943 ER - 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 - TY - CONF T1 - Ontology Alignment for Linked Open Data T2 - The Semantic Web - ISWC 2010 - 9th International Semantic Web Conference, ISWC 2010 Y1 - 2010 A1 - Prateek Jain A1 - Pascal Hitzler A1 - Amit Sheth A1 - Kunal Verma A1 - Peter Z. Yeh ED - Peter F. Patel-Schneider ED - Yue Pan ED - Pascal Hitzler ED - Peter Mika ED - Lei Zhang ED - Jeff Z. Pan ED - Ian Horrocks ED - Birte Glimm AB -

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.

JF - The Semantic Web - ISWC 2010 - 9th International Semantic Web Conference, ISWC 2010 PB - Springer CY - Shanghai, China VL - 6496 UR - http://dx.doi.org/10.1007/978-3-642-17746-0_26 ER - TY - Generic T1 - The Semantic Web - ISWC 2010. 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I T2 - 9th International Semantic Web Conference, ISWC 2010 Y1 - 2010 ED - Peter F. Patel-Schneider ED - Yue Pan ED - Pascal Hitzler ED - Peter Mika ED - Lei Zhang ED - Jeff Z. Pan ED - Ian Horrocks ED - Birte Glimm JF - 9th International Semantic Web Conference, ISWC 2010 PB - Springer CY - Shanghai, China VL - 6496 ER - TY - Generic T1 - The Semantic Web - ISWC 2010. 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part II T2 - 9th International Semantic Web Conference, ISWC 2010 Y1 - 2010 ED - Peter F. Patel-Schneider ED - Yue Pan ED - Pascal Hitzler ED - Peter Mika ED - Lei Zhang ED - Jeff Z. Pan ED - Ian Horrocks ED - Birte Glimm JF - 9th International Semantic Web Conference, ISWC 2010 PB - Springer CY - Shanghai, China VL - 6497 ER -