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A general framework for mining relations for the semantic web (CROSBI ID 588588)

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

Doko, Alen ; Štula, Maja A general framework for mining relations for the semantic web // IIWeb '12 Proceedings of the Ninth International Workshop on Information Integration on the Web / Ullas Nambiar ; Zaiqing Nie (ur.). New York (NY): The Association for Computing Machinery (ACM), 2012. str. 1-5

Podaci o odgovornosti

Doko, Alen ; Štula, Maja

engleski

A general framework for mining relations for the semantic web

Automatic ontology learning is inevitable for the expansion of the Semantic Web. This paper lists basic problems of ontology learning at first. Then it proposes a general framework for mining relations from various sources to build ontologies for the semantic web. The framework aims at solving the problems of ontology learning by concentrating on the generic relation "is related to" between objects on the web. It is based on the fact that every data source on the web has a certain clearly defined structure which can be used to automatically extract semantic relations. To define the strength of the semantic relation frequent item set mining is proposed.

Semantic web; Association rules; Ontology learning

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Podaci o prilogu

1-5.

2012.

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objavljeno

978-1-4503-1239-4

Podaci o matičnoj publikaciji

IIWeb '12 Proceedings of the Ninth International Workshop on Information Integration on the Web

Ullas Nambiar ; Zaiqing Nie

New York (NY): The Association for Computing Machinery (ACM)

Podaci o skupu

The Ninth International Workshop on Information Integration on the Web

predavanje

20.03.2012-23.03.2012

Scottsdale (AZ), Sjedinjene Američke Države

Povezanost rada

Računarstvo