Show simple item record

dc.contributor.authorAngrosh, M. A.
dc.contributor.authorCranefield, Stephen
dc.contributor.authorStanger, Nigel
dc.date.available2014-07-07T22:17:33Z
dc.date.copyright2014
dc.identifier.citationAngrosh, M.A., Cranefield, S. and Stanger, N. Contextual information retrieval in research articles: Semantic publishing tools for the research community. Semantic Web, 5(4): 261-293, 2014en_NZ
dc.identifier.issn1570-0844
dc.identifier.urihttp://hdl.handle.net/10523/4904
dc.descriptionSemantic Web, 15(4), M.A. Angrosh, S. Cranefield, N. Stanger, Contextual information retrieval in research articles: Semantic publishing tools for the research community, pp 261-293, Copyright 2014, with permission from IOS Press (www.iospress.nl).en_NZ
dc.description.abstractIn recent years, the dramatic increase in academic research publications has gained significant research attention. Research has been carried out exploring novel ways of providing information services using this research content. However, the task of extracting meaningful information from research documents remains a challenge. This paper presents our research work on developing intelligent information systems that exploit online article databases. We present in this paper, a linked data application which uses a new semantic publishing model for providing value added information services for the research community. The paper presents a conceptual framework for modelling contexts associated with sentences in research articles and discusses the Sentence Context Ontology, which is used to convert the information extracted from research documents into machine-understandable data. The paper reports supervised learning experiments carried out using conditional probabilistic models for achieving automatic context identification. The paper also describes a Semantic Web Application that provides various citation context based information services.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.publisherIOS Pressen_NZ
dc.relation.ispartofSemantic Weben_NZ
dc.subjectSemantic publishing modelsen_NZ
dc.subjectSentence context ontologyen_NZ
dc.subjectLinked data applicationen_NZ
dc.subjectConditional random fieldsen_NZ
dc.subjectMaximum entropy Markov modelsen_NZ
dc.subjectCitation classificationen_NZ
dc.subjectSentence context identificationen_NZ
dc.titleContextual information retrieval in research articles: Semantic publishing tools for the research communityen_NZ
dc.typeJournal Articleen_NZ
dc.date.updated2014-07-07T04:16:27Z
otago.schoolInformation Scienceen_NZ
otago.interloan
otago.relation.issue4en_NZ
otago.relation.volume5en_NZ
dc.identifier.doi10.3233/SW-130097en_NZ
otago.bitstream.endpage293en_NZ
otago.bitstream.startpage261en_NZ
otago.openaccessOpen
dc.rights.statement© 2014 – IOS Press and the authors. All rights reserveden_NZ
dc.description.refereedPeer Revieweden_NZ
 Find in your library

Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record