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Pregled bibliografske jedinice broj: 304892

Using Ontologies for Measuring Semantic Similarity in Data Warehouse Schema Matching Process


Banek, Marko; Vrdoljak, Boris; Tjoa, A Min
Using Ontologies for Measuring Semantic Similarity in Data Warehouse Schema Matching Process // Proceedings of the 9th International Conference on Telecommunications (ConTEL 2007) / Car, Željka ; Kušek, Mario (ur.).
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2007. str. 227-234 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Using Ontologies for Measuring Semantic Similarity in Data Warehouse Schema Matching Process

Autori
Banek, Marko ; Vrdoljak, Boris ; Tjoa, A Min

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

Izvornik
Proceedings of the 9th International Conference on Telecommunications (ConTEL 2007) / Car, Željka ; Kušek, Mario - Zagreb : University of Zagreb, Faculty of Electrical Engineering and Computing, 2007, 227-234

ISBN
978-953-184-110-8

Skup
9th International Conference on Telecommunications (ConTEL 2007)

Mjesto i datum
Zagreb, Hrvatska, 13-15.06.2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Semantic similarity; data warehouse; data warehouse integration; schema matching; ontology; OWL; WordNet

Sažetak
The key step of data warehouse integration is the construction of mappings that link mutually compatible components of data warehouse schemas: dimensions, aggregation levels, attributes and facts. In order to perform the integration process in a semi-automated manner, we must define similarity functions that compare the names and substructures of those structure elements. During the last decade, many approaches to measuring semantic similarity between lexical terms have been introduced, most of them based either on the taxonomy of WordNet, a large lexical and thesaurus database of English language, or on the previously measured language statistic corpus. This paper presents a novel semantic similarity technique, based on edge counting, which combines WordNet and domain ontologies written in OWL and is implemented as a Java software. Ontologies are designed by domain experts and thus provide a better and more trustworthy source for calculating similarity, and the fact that the terms are related closer than in WordNet results in a higher similarity.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
036-0361983-2012 - Semantička integracija heterogenih izvorišta podataka (Mirta Baranović, )
036-0362027-1638 - Umrežena ekonomija (Zoran Skočir, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb