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Ontology Matching using TF/IDF Measure with Synonym Recognition (CROSBI ID 601464)

Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija

Gulić, Marko ; Magdalenić, Ivan ; Vrdoljak, Boris Ontology Matching using TF/IDF Measure with Synonym Recognition // Communications in computer and information science. 2013. str. 22-33 doi: 10.1007/978-3-642-41947-8_3

Podaci o odgovornosti

Gulić, Marko ; Magdalenić, Ivan ; Vrdoljak, Boris

engleski

Ontology Matching using TF/IDF Measure with Synonym Recognition

Ontology matching is an important process for integration of heterogeneous data sources. A large number of different matchers for comparing ontologies exist. They can be classified into element-level and structure-level matchers. The element-level matchers compare entities ignoring their relations with other entities, while the structure-level matchers consider these relations. The TF/IDF (term frequency / inverse document frequency) measure is useful for specifying key terms weights in documents. In our matching system we use the TF/IDF measure for comparing documents that store data about ontology entities. However, the TF/IDF does not take synonyms into account, and it may occur that the terms that describe two entities the best are synonyms. In this paper we propose a matcher that combines the TF/IDF measure with synonym recognition when determining key term weights, in order to improve the results of ontology matching. Evaluation of the matcher is performed on case study examples.

ontology matching ; TF/IDF ; synonym recognition ; ontology integration

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Podaci o prilogu

22-33.

2013.

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objavljeno

978-3-642-41946-1

10.1007/978-3-642-41947-8_3

Podaci o matičnoj publikaciji

Communications in computer and information science

Berlin: Springer

1865-0929

1865-0937

Podaci o skupu

19th International Conference on Information and Software Technologies (ICIST)

predavanje

10.10.2013-11.10.2013

Kaunas, Litva

Povezanost rada

Računarstvo

Poveznice
Indeksiranost