Naslov
Ontology Matching using TF/IDF Measure with Synonym Recognition

Autori
Gulić, Marko ; Magdalenić, Ivan ; Vrdoljak, Boris

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
INFORMATION AND SOFTWARE TECHNOLOGIES (ICIST 2013) Book Series: Communications in Computer and Information Science / - Berlin : Springer, 2013, 22-33

ISBN
978-3-642-41946-1

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

Mjesto i datum
Kaunas, Litva, 10.10.2013. - 11.10.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA