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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/16519
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dc.contributor.authorKrishnan, Reshmyen_UK
dc.contributor.authorHussain, Amiren_UK
dc.contributor.authorSherimon, P Cen_UK
dc.contributor.editorLiu, Den_UK
dc.contributor.editorAlippi, Cen_UK
dc.contributor.editorZhao, Den_UK
dc.contributor.editorHussain, Aen_UK
dc.date.accessioned2016-12-07T05:07:06Z-
dc.date.available2016-12-07T05:07:06Zen_UK
dc.date.issued2013en_UK
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.isoenen_UK
dc.publisherSpringeren_UK
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 (eds.) Advances in Brain Inspired Cognitive Systems: 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings. Lecture Notes in Computer Science, 7888. 6th International Conference on Brain Inspired Cognitive Systems, BICS 2013, Beijing, China, 09.06.2013-11.06.2013. Berlin Heidelberg: Springer, pp. 235-244. http://link.springer.com/chapter/10.1007/978-3-642-38786-9_27#; https://doi.org/10.1007/978-3-642-38786-9_27en_UK
dc.relation.ispartofseriesLecture Notes in Computer Science, 7888en_UK
dc.relation.urihttp://www.conference123.org/bics2013/en_UK
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.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
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.embargodate3000-05-31en_UK
dc.rights.embargoreason[Conceptual clustering of documents for automatic ontology generation.pdf] The 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.en_UK
dc.identifier.doi10.1007/978-3-642-38786-9_27en_UK
dc.citation.issn0302-9743en_UK
dc.citation.spage235en_UK
dc.citation.epage244en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.identifier.urlhttp://link.springer.com/chapter/10.1007/978-3-642-38786-9_27#en_UK
dc.author.emailamir.hussain@stir.ac.uken_UK
dc.citation.btitleAdvances in Brain Inspired Cognitive Systems: 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedingsen_UK
dc.citation.conferencedates2013-06-09 - 2013-06-11en_UK
dc.citation.conferencelocationBeijing, Chinaen_UK
dc.citation.conferencename6th International Conference on Brain Inspired Cognitive Systems, BICS 2013en_UK
dc.citation.date30/06/2013en_UK
dc.citation.isbn978-3-642-38785-2en_UK
dc.publisher.addressBerlin Heidelbergen_UK
dc.contributor.affiliationMuscat College, Omanen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationArab Open Universityen_UK
dc.identifier.scopusid2-s2.0-84880264820en_UK
dc.identifier.wtid687074en_UK
dc.contributor.orcid0000-0002-8080-082Xen_UK
dcterms.dateAccepted2013-06-30en_UK
dc.date.filedepositdate2013-08-12en_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorKrishnan, Reshmy|en_UK
local.rioxx.authorHussain, Amir|0000-0002-8080-082Xen_UK
local.rioxx.authorSherimon, P C|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorLiu, D|en_UK
local.rioxx.contributorAlippi, C|en_UK
local.rioxx.contributorZhao, D|en_UK
local.rioxx.contributorHussain, A|en_UK
local.rioxx.freetoreaddate3000-05-31en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenameConceptual clustering of documents for automatic ontology generation.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-3-642-38785-2en_UK
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