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A prototype for context identification of scientific papers via agent-based text mining

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dc.citedby7
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid56036880900en_US
dc.date.accessioned2023-05-29T06:39:31Z
dc.date.available2023-05-29T06:39:31Z
dc.date.issued2017
dc.descriptionAbstracting; Data mining; Filtration; Robotics; Agent based; Agent based simulation; Context identification; Scientific papers; Text mining; Threshold setting; Work in progress; Multi agent systemsen_US
dc.description.abstractIn many circumstances, it is quite challenging for researchers to look for papers that match their interests when searched from databases. More often, papers which have been searched are perused individually to precisely identify the relevant contents. In this paper, we present a prototype to test our work-in-progress of an agent-based text mining algorithm that extracts and identifies the context of potentially relevant papers published in the WWW. The prototype involves an interface that enables a user to test the algorithm and view the results. The interface links to an abstract of a paper that the algorithm mines. We conduct tests on three abstracts of selected papers from the literature. We conduct the tests on various threshold settings that filter unnecessary data. The results show that the algorithm successfully identifies the contexts of the tested abstracts with thresholds of between 30%-60%. � 2016 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7810000
dc.identifier.doi10.1109/ISAMSR.2016.7810000
dc.identifier.epage44
dc.identifier.scopus2-s2.0-85015082563
dc.identifier.spage40
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85015082563&doi=10.1109%2fISAMSR.2016.7810000&partnerID=40&md5=b0c94d8767cd9acdde4ff7ec9336423e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23328
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016
dc.titleA prototype for context identification of scientific papers via agent-based text miningen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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