Leveraging data and structure in ontology integration Export

@inproceedings{citeulike:2022806, abstract = {There is a great deal of research on ontology integration which makes use of rich logical constraints to reason about the structural and logical alignment of ontologies. There is also considerable work on matching data instances from heterogeneous schema or ontologies. However, little work exploits the fact that ontologies include both data and structure. We aim to close this gap by presenting a new algorithm (ILIADS) that tightly integrates both data matching and logical reasoning to achieve better matching of ontologies. We evaluate our algorithm on a set of 30 pairs of OWL Lite ontologies with the schema and data matchings found by human reviewers. We compare against two systems - the ontology matching tool FCA-merge [28] and the schema matching tool COMA++ [1]. ILIADS shows an average improvement of 25\% in quality over FCA-merge and a 11\% improvement in recall over COMA++.}, address = {New York, NY, USA}, author = {Udrea, Octavian and Getoor, Lise and Miller, Ren\'{e}e J.}, booktitle = {SIGMOD '07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data}, citeulike-article-id = {2022806}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1247480.1247531}, citeulike-linkout-1 = {http://dblp.uni-trier.de/rec/bibtex/conf/sigmod/UdreaGM07}, citeulike-linkout-2 = {http://dx.doi.org/10.1145/1247480.1247531}, doi = {10.1145/1247480.1247531}, isbn = {978-1-59593-686-8}, keywords = {data, integration, ontology, schema\_matching}, location = {Beijing, China}, pages = {449--460}, posted-at = {2007-11-30 08:00:59}, priority = {0}, publisher = {ACM}, title = {Leveraging data and structure in ontology integration}, url = {http://dx.doi.org/10.1145/1247480.1247531}, year = {2007} }

TY - CONF ID - citeulike:2022806 L3 - citeulike-article-id:2022806 N2 - There is a great deal of research on ontology integration which makes use of rich logical constraints to reason about the structural and logical alignment of ontologies. There is also considerable work on matching data instances from heterogeneous schema or ontologies. However, little work exploits the fact that ontologies include both data and structure. We aim to close this gap by presenting a new algorithm (ILIADS) that tightly integrates both data matching and logical reasoning to achieve better matching of ontologies. We evaluate our algorithm on a set of 30 pairs of OWL Lite ontologies with the schema and data matchings found by human reviewers. We compare against two systems - the ontology matching tool FCA-merge [28] and the schema matching tool COMA++ [1]. ILIADS shows an average improvement of 25% in quality over FCA-merge and a 11% improvement in recall over COMA++. CY - Beijing, China SN - 978-1-59593-686-8 AD - New York, NY, USA EP - 460 TI - Leveraging data and structure in ontology integration PB - ACM T2 - SIGMOD '07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data SP - 449 KW - data KW - integration KW - ontology KW - schema_matching AU - Udrea, Octavian AU - Getoor, Lise AU - Miller, Renée PY - 2007/// UR - http://dx.doi.org/10.1145/1247480.1247531 ER -