A general framework for mining relations for the semantic web (CROSBI ID 588588)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
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