Sergieh, Hatem Mousselly ; Unland, Rainer (2010)
IROM: Information Retrieval-Based Ontology Matching.
Saarbrücken, Germany
doi: 10.1007/978-3-642-23017-2_9
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
A crucial piece of semantic web development is the creation of viable ontology matching approaches to ensure interoperability in a wide range of applications such as information integration and semantic multimedia. In this paper, a new approach for ontology matching called IROM (Information Retrieval-based Ontology Matching) is presented. This approach derives the different components of an information retrieval (IR) framework based on the information provided by the input ontologies and supported by ontology similarity measures. Subsequently, a retrieval algorithm is applied to determine the correspondences between the matched ontologies. IROM was tested with ontology pairs taken from two resources for reference ontologies, OAEI and FOAM. The evaluation shows that IROM is competitive with top-ranked matchers on the benchmark test at OAEI campaign of 2009.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2010 |
| Autor(en): | Sergieh, Hatem Mousselly ; Unland, Rainer |
| Art des Eintrags: | Bibliographie |
| Titel: | IROM: Information Retrieval-Based Ontology Matching |
| Sprache: | Englisch |
| Publikationsjahr: | 2010 |
| Verlag: | Springer Berlin Heidelberg |
| Buchtitel: | Semantic Multimedia - 5th International Conference on Semantic and Digital Media Technologies, SAMT 2010 |
| Veranstaltungsort: | Saarbrücken, Germany |
| DOI: | 10.1007/978-3-642-23017-2_9 |
| URL / URN: | https://link.springer.com/chapter/10.1007%2F978-3-642-23017-... |
| Kurzbeschreibung (Abstract): | A crucial piece of semantic web development is the creation of viable ontology matching approaches to ensure interoperability in a wide range of applications such as information integration and semantic multimedia. In this paper, a new approach for ontology matching called IROM (Information Retrieval-based Ontology Matching) is presented. This approach derives the different components of an information retrieval (IR) framework based on the information provided by the input ontologies and supported by ontology similarity measures. Subsequently, a retrieval algorithm is applied to determine the correspondences between the matched ontologies. IROM was tested with ontology pairs taken from two resources for reference ontologies, OAEI and FOAM. The evaluation shows that IROM is competitive with top-ranked matchers on the benchmark test at OAEI campaign of 2009. |
| ID-Nummer: | TUD-CS-2010-23889 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 24 Sep 2018 18:27 |
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