Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/16519
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dc.contributor.authorKrishnan, Reshmy-
dc.contributor.authorHussain, Amir-
dc.contributor.authorSherimon, P C-
dc.contributor.editorLiu, D-
dc.contributor.editorAlippi, C-
dc.contributor.editorZhao, D-
dc.contributor.editorHussain, A-
dc.date.accessioned2016-12-07T05:07:06Z-
dc.date.issued2013-
dc.identifier.urihttp://hdl.handle.net/1893/16519-
dc.description.abstractIn Information retrieval, Keyword based retrieval is unsatisfactory for user needs since it can't always retrieve relevant words according to the concept. Since different words can represent the same concept (polysemy) and one word can represent different concepts (homonymy), mapping problem will lead to word sense Disambiguation. Through the implementation of domain dependent ontology, concept based information retrieval (IR) can be achieved. Since Semantic concept extraction from keywords is the initial phase for automatic construction of ontology process, this paper propose an effective method for it. Reuters21578 is used as the input of this process, followed by indexing, training and clustering using self-Organizing Map. Based on the feature vector, the clustering of documents are formed using automatic concept selections, in order to make the hierarchy. Clusters are represented hierarchically based on the topics assigned .Ontology will be generated automatically for each cluster, based on the topic assigned.en_UK
dc.language.isoen-
dc.publisherSpringer-
dc.relationKrishnan R, Hussain A & Sherimon PC (2013) Conceptual clustering of documents for automatic ontology generation In: Liu D, Alippi C, Zhao D, Hussain A (ed.) Advances in Brain Inspired Cognitive Systems: 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings, Berlin Heidelberg: Springer. 6th International Conference on Brain Inspired Cognitive Systems, BICS 2013, 9.6.2013 - 11.6.2013, Beijing, China, pp. 235-244.-
dc.relation.ispartofseriesLecture Notes in Computer Science, 7888-
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.-
dc.subjecthomonymyen_UK
dc.subjectpolysemyen_UK
dc.subjectInformation retrievalen_UK
dc.subjectindexingen_UK
dc.subjectfeature vectoren_UK
dc.subjectSelf-Organizing Mapen_UK
dc.subjectClusteringen_UK
dc.titleConceptual clustering of documents for automatic ontology generationen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate2999-12-31T00:00:00Z-
dc.rights.embargoreasonThe publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.-
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-38786-9_27-
dc.citation.issn0302-9743-
dc.citation.spage235-
dc.citation.epage244-
dc.citation.publicationstatusPublished-
dc.citation.peerreviewedRefereed-
dc.type.statusBook Chapter: publisher version-
dc.identifier.urlhttp://link.springer.com/chapter/10.1007/978-3-642-38786-9_27#-
dc.author.emailamir.hussain@stir.ac.uk-
dc.citation.btitleAdvances in Brain Inspired Cognitive Systems: 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings-
dc.citation.conferencedates2013-06-09T00:00:00Z-
dc.citation.conferencelocationBeijing, China-
dc.citation.conferencename6th International Conference on Brain Inspired Cognitive Systems, BICS 2013-
dc.citation.date06/2013-
dc.citation.isbn978-3-642-38785-2-
dc.publisher.addressBerlin Heidelberg-
dc.contributor.affiliationMuscat College, Oman-
dc.contributor.affiliationComputing Science - CSM Dept-
dc.contributor.affiliationArab Open University-
dc.rights.embargoterms2999-12-31-
dc.rights.embargoliftdate2999-12-31-
Appears in Collections:Computing Science and Mathematics Book Chapters and Sections

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