A general framework for mining relations for the semantic web

Authors:
Alen Doko;Maja Štula
Affiliations:
JP Croatian Telecommunications d. o. o. Mostar, Bosnia and Herzegovina;University of Split, Split, Croatia
Venue:
Proceedings of the Ninth International Workshop on Information Integration on the Web
Year:
2012

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Abstract

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.