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Author Garrido, A.L. ♦ Buey, M.G. ♦ Escudero, S. ♦ Ilarri, S. ♦ Mena, E. ♦ Silveira, S.B.
Sponsorship IEEE Comput. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Semantics ♦ Context ♦ Ontologies ♦ Data mining ♦ Proposals ♦ Redundancy ♦ Syntactics ♦ Semantics ♦ Knowledge acquisition ♦ Text mining ♦ Ontologies ♦ Topic maps ♦ Linguistics
Abstract The vast amount of text documents stored in digital format is growing at a frantic rhythm each day. Therefore, tools able to find accurate information searching in natural language information repositories are gaining great interest in recent years. In this context, there are especially interesting tools capable of dealing with large amounts of text information and deriving human-readable summaries. However, one step further is to be able not only to summarize, but to extract the knowledge stored in those texts, and even represent it graphically. In this paper we present an architecture to generate automatically a conceptual representation of knowledge stored in a set of text-based documents. For this purpose we have used the topic maps standard and we have developed a method that combines text mining, statistics, linguistic tools, and semantics to obtain a graphical representation of the information contained therein, which can be coded using a knowledge representation language such as RDF or OWL. The procedure is language-independent, fully automatic, self-adjusting, and it does not need manual configuration by the user. Although the validation of a graphic knowledge representation system is very subjective, we have been able to take advantage of an intermediate product of the process to make a experimental validation of our proposals.
Description Author affiliation: Comput. Dept., Univ. of Lisbon, Lisbon, Portugal (Silveira, S.B.) || IIS Dept., Univ. of Zaragoza, Zaragoza, Spain (Garrido, A.L.; Buey, M.G.; Escudero, S.; Ilarri, S.; Mena, E.)
ISSN 10823409
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-11-04
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479929726
Size (in Bytes) 208.85 kB
Page Count 6
Starting Page 735
Ending Page 740

Source: IEEE Xplore Digital Library