Name
Abstract | ||
|---|---|---|
Ontologies have become an important mechanism for describing and exchanging data in the semantic web, as well as in application areas such as bioinformatics or health care. This paper addresses the problem of how to eciently store and query ontology instance data using an RDBMS. Our approach automatically cre- ates a schema-aware relational representation of the ontology using generic mapping rules. Part of the ontology reasoning, such as on subsumption relation- ships, is done during schema-generation and also at load-time of the instance data, so that query process- ing becomes faster. We implemented our approach in an OWL-mapping tool, called Genea, that can au- tomatically create a compact relational schema and load the instance data from a given ontology written in OWL. We report on results from a quantitative and qualitative evaluation of our approach as compared to both schema-oblivious and schema-aware RDF stores from the semantic web community. Genea was found to be a generic and eective tool for ontology map- |
Year | Venue | Keywords |
|---|---|---|
2006 | COMAD | ontology mapping,relational database,health care,semantic web |
Field | DocType | Citations |
Ontology (information science),Ontology-based data integration,Data mining,Information retrieval,Process ontology,Computer science,Open Biomedical Ontologies,Ontology Inference Layer,OWL-S,Suggested Upper Merged Ontology,Upper ontology,Database | Conference | 1 |
PageRank | References | Authors |
0.39 | 12 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tim Kraska | 1 | 2226 | 133.57 |
| Uwe Röhm | 2 | 308 | 31.42 |