Abstract | ||
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Mediating heterogeneous data sources heavily relies on explicit domain knowledge expressed, for example, as ontologies and mapping rules. We discuss the use of logic representations for mapping schema elements onto concepts expressed in a simplified ontology for cultural assets. Starting with a logic representation of the ontology, criteria for a rule-based schema matching are exemplified. Special requirements are the handling of uncertain information and the processing of hierarchical XML structures representing instances. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1016/j.jal.2004.07.021 | Journal of Applied Logic |
Keywords | Field | DocType |
Schema matching,Data integration,Logic representation | Ontology (information science),Data integration,Ontology,Data mining,Ontology-based data integration,Information retrieval,Star schema,Computer science,Algorithm,XML schema,Schema matching,XML Schema Editor | Journal |
Volume | Issue | ISSN |
3 | 2 | 1570-8683 |
Citations | PageRank | References |
7 | 0.49 | 18 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gunter Saake | 1 | 3255 | 639.75 |
Kai-uwe Sattler | 2 | 1144 | 126.81 |
Stefan Conrad | 3 | 168 | 105.91 |