Semantic web-based knowledge acquisition using key events from news

F.P. Hogenboom, F. Frasincar, U. Kaymak

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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Abstract

Hermes is an ontology-based framework for building news personalization services, which focuses on news classification and knowledge base updating. The framework also allows for news querying and result presentation. In this paper, we focus on the techniques involved in keeping Hermes’ internal knowledge base up-to-date. Essentially, our semi-automatic approach to knowledge acquisition from news is based on ontologies and lexico-semantic patterns.
Original languageEnglish
Title of host publicationProceedings of the 22nd Benelux Conference on Artificial Intelligence (BNAIC 2010), 25-26 October 2010, Luxembourg
EditorsG. Danoy, M. Seredynski, R. Booth, B. Gateau, I. Jars, D. Khadraoui
Place of PublicationZ.pl.
Publishers.n.
Pages261-262
Publication statusPublished - 2010
Event22nd Benelux Conference on Artificial Intelligence (BNAIC 2010) - Luxemburg, Luxembourg
Duration: 25 Oct 201026 Oct 2010
Conference number: 22

Conference

Conference22nd Benelux Conference on Artificial Intelligence (BNAIC 2010)
Abbreviated titleBNAIC 2010
Country/TerritoryLuxembourg
CityLuxemburg
Period25/10/1026/10/10

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