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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/16976
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dc.contributor.authorCiravegna, Fabio
dc.contributor.authorDingli, Alexiei
dc.contributor.authorPetrelli, Daniela
dc.contributor.authorWilks, Yorick
dc.date.accessioned2017-03-04T20:31:56Z
dc.date.available2017-03-04T20:31:56Z
dc.date.issued2002
dc.identifier.citationCiravegna, F., Dingli, A., Petrelli, D., & Wilks, Y. (2002). Timely and nonintrusive active document annotation via adaptive information extraction. 15th European Conference on Artificial Intelligence (ECAI 2002), Lyon. 1-7.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/16976
dc.descriptionThe current work has been carried on in the framework of the AKT project (Advanced Knowledge Technologies, http://www.aktors.org), an Interdisciplinary Research Collaboration (IRC) sponsored by the UK Engineering and Physical Sciences Research Council (grant GR/N15764/01). AKT involves the Universities of Aberdeen, Edinburgh, Sheffield, Southampton and the Open University (www.aktors.org). AKT is a multimillion pound six year research project that started in 2000.en_GB
dc.description.abstractThe process of document annotation for the Semantic Web is complex and time consuming, as it requires a great deal of manual annotation. Information extraction from texts (IE) is a technology used by some of the most recent systems for actively supporting users in the process and reducing the burden of annotation. The integration of IE systems in annotation tools is quite a new development and in our opinion there is still the necessity of thinking the impact of the IE system in the process of annotation. In this paper we discuss two main requirements for active annotation: timeliness and tuning of intrusiveness. Then we present and discuss a model of interaction that addresses the two issues and Melita, an annotation framework that implements such methodology.en_GB
dc.language.isoenen_GB
dc.publisherIOS Pressen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectSemantic Weben_GB
dc.subjectInformation retrieval -- Automationen_GB
dc.subjectCorpora (Linguistics)en_GB
dc.subjectNatural language processing (Computer science)en_GB
dc.titleTimely and nonintrusive active document annotation via adaptive information extractionen_GB
dc.typeconferenceObjecten_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.conferencename15th European Conference on Artificial Intelligence (ECAI 2002)en_GB
dc.bibliographicCitation.conferenceplaceLyon, France, 21-26/07/2002en_GB
dc.description.reviewedpeer-revieweden_GB
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