BibSonomy publications for /user/sebastian/dbowlThu Apr 17 14:19:16 CEST 2008D12{OntoLiFT Demonstrator}2004dbowl unprinted Fri Mar 07 17:28:35 CET 2008RRconf/rr/2007361-363Lecture Notes in Computer ScienceEfficiently Querying Relational Databases Using OWL and SWRL.45242007dbowl printed Fri Mar 07 15:49:31 CET 2008SWDBR2O, an Extensible and Semantically Based Databaseto-ontology Mapping Language2004dbowl printed Fri Mar 07 15:41:18 CET 2008ISWC2004 (posters)NovemberD2RQ - Treating Non-RDF Databases as Virtual RDF Graphs2004dbowl implemented printed tool Fri Mar 07 15:38:08 CET 2008AICT/ICIWconf/aict/2006170RDB2ONT: A Tool for Generating OWL Ontologies From Relational Database Systems.2006dbowl printed Fri Mar 07 15:35:27 CET 2008DLDB: Extending Relational Databases to Support Semantic Web Queries2004dbowl minor reasoning soeren unprinted We present DLDB, a knowledge base system that extends a relational database management system with additional capabilities for DAML+OIL inference. We discuss a number of database schemas that can be used to store RDF data and discuss the tradeoffs of each. Then we describe how we extend our design to support DAML+OIL entailments. The most significant aspect of our approach is the use of a description logic reasoner to precompute the subsumption hierarchy. We describe a lightweight implementation that makes use of a common RDBMS (MS Access) and the FaCT description logic reasoner. Surprisingly, this simple approach provides good results for extensional queries over a large set of DAML+OIL data that commits to a representative ontology of moderate complexity. As such, we expect such systems to be adequate for personal or small-business usage.Fri Mar 07 15:34:17 CET 2008EMOI-INTEROPconf/caise/2006emCEUR Workshop ProceedingsLearning Data-Consistent Mappings from a Relational Database to an Ontology.2002006dbowl printed Fri Mar 07 15:31:46 CET 2008RDB2Onto: Relational Database Data to Ontology Individuals Mapping2006dbowl printed Fri Mar 07 15:24:37 CET 2008New York, NY, USACompSysTech '07: Proceedings of the 2007 international conference on Computer systems and technologies1--6Building ontologies from relational databases using reverse engineering methods2007dbowl printed Fri Mar 07 15:22:54 CET 2008OTM Conferences (2)conf/otm/2005-21152-1169Lecture Notes in Computer ScienceInferring Complex Semantic Mappings Between Relational Tables and Ontologies from Simple Correspondences.37612005dbowl printed Fri Mar 07 15:15:46 CET 2008SEBDconf/sebd/2007491-494DB2OWL : A Tool for Automatic Database-to-Ontology Mapping.2007dbowl printed Fri Mar 07 15:14:42 CET 2008Athens, USASemantic Web Challenge at 4th International Semantic Web ConferenceNOVDartgrid: a Semantic Web Toolkit for Integrating Heterogeneous Relational Databases2006dbowl printed Tue Mar 04 18:47:22 CET 2008Third International Semantic Web Conference (ISWC 2004)November 7-11{QOM - Quick Ontology Mapping}2004dbowl unprinted Tue Mar 04 18:45:50 CET 2008Berlin, HeidelbergProceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Koreahttp://data.semanticweb.org/conference/iswc-aswc/2007/proceedingsNovember225--238LNCSDiscovering Simple Mappings Between Relational Database Schemas and Ontologies48252007dbowl printed Ontologies proliferate with the growth of the Semantic Web. However, most of data on the Web are still stored in relational databases. Therefore, it is important to establish interoperability between relational databases and ontologies for creating a Web of data. An effective way to achieve interoperability is finding mappings between relational database schemas and ontologies. In this paper, we propose a new approach to discovering simple mappings between a relational database schema and an ontology. It exploits simple mappings based on virtual documents, and eliminates incorrect mappings via validating mapping consistency. Additionally, it also constructs a special type of semantic mappings, called contextual mappings, which is useful for practical applications. Experimental results demonstrate that our approach performs well on several data sets from real world domains.Tue Mar 04 17:34:19 CET 2008WAIMconf/waim/2005209-220Lecture Notes in Computer ScienceA Semi-automatic Ontology Acquisition Method for the Semantic Web.37392005dbowl printed Tue Mar 04 16:16:34 CET 2008Proceedings of International Conference on Machine Learning and Cybernetics,Learning ontology from relational database2005dbowl printed