Anzeige
Erschienen in:
2005 | OriginalPaper | Buchkapitel
Analysis of an Iterative Algorithm for Term-Based Ontology Alignment
verfasst von : Shisanu Tongchim, Canasai Kruengkrai, Virach Sornlertlamvanich, Prapass Srichaivattana, Hitoshi Isahara
Erschienen in: Natural Language Processing – IJCNLP 2005
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
This paper analyzes the results of automatic concept alignment between two ontologies. We use an iterative algorithm to perform concept alignment. The algorithm uses the similarity of shared terms in order to find the most appropriate target concept for a particular source concept. The results show that the proposed algorithm not only finds the relation between the target concepts and the source concepts, but the algorithm also shows some flaws in the ontologies. These results can be used to improve the correctness of the ontologies.