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dc.contributor.authorCiravegna, Fabio
dc.contributor.authorDingli, Alexiei
dc.contributor.authorPetrelli, Daniela
dc.identifier.citationCiravegna, F., Dingli, A., & Petrelli, D. (2002). Active document enrichment using adaptive information extraction from text. 1st International Semantic Web Conference (ISWC2002), Chia. 1.en_GB
dc.description.abstractThe traditional process of document annotation for knowledge identification and extraction in the Semantic Web (SW) is complex and time consuming, as it requires manual annotation by domain experts. There is currently a strong interest in Text Mining technologies (and in particular in Human Language-based Technologies), for reducing the burden of text annotation for Knowledge Management (KM). In this poster we present Melita, an annotation interface that uses Adaptive Information Extraction from texts for reducing the burden of text annotation.en_GB
dc.subjectSemantic Weben_GB
dc.subjectKnowledge managementen_GB
dc.subjectNatural language processing (Computer science)en_GB
dc.subjectCorpora (Linguistics)en_GB
dc.subjectText processing (Computer science)en_GB
dc.titleActive document enrichment using adaptive information extraction from texten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename1st International Semantic Web Conference (ISWC2002)en_GB
dc.bibliographicCitation.conferenceplaceChia, Italy, 9-12/06/2002en_GB
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