dc.creatorVasques
dc.creatorDG; Zambon
dc.creatorAC; Baioco
dc.creatorGB; Martins
dc.creatorPS
dc.date2016
dc.date2016-12-06T18:31:01Z
dc.date2016-12-06T18:31:01Z
dc.date.accessioned2018-03-29T02:03:40Z
dc.date.available2018-03-29T02:03:40Z
dc.identifier
dc.identifierSystem Sciences (hicss), 2016 49th Hawaii International Conference On. IEEE COMPUTER SOC, p. 4144 - 4153.
dc.identifier1060-3425
dc.identifierWOS:000377358204026
dc.identifier10.1109/HICSS.2016.514
dc.identifierhttp://ieeexplore.ieee.org/document/7427700/?section=abstract
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/320198
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1310964
dc.descriptionThis work presents an approach to knowledge acquisition based on semantic classification of verbs as a tool to knowledge management. It allows the extraction of propositions, concepts and non-taxonomic relations from a domain. It also allows a systematic understanding of the knowledge construction process, based on systems thinking and energy flows. We argue that this type of extraction may facilitate the understanding of the structure of cognitive processes and contribute to knowledge extraction in several areas that use representation, storage, transfer and flow of knowledge as a resource. Our experiments show that the proposed approach may extract processual knowledge and represent it in a causal concept map, guaranteeing, as much as possible, the accuracy of the acquired knowledge, by minimizing the distance between the knowledge agent's domain and what the knowledge engineer is capable of extracting.
dc.description
dc.description
dc.description4144
dc.description4153
dc.description49th Hawaii International Conference on System Sciences (HICSS)
dc.descriptionJAN 05-08, 2016
dc.descriptionKoloa, HI
dc.languageEnglish
dc.publisherIEEE COMPUTER SOC
dc.publisherLOS ALAMITOS
dc.relationSystem Sciences (HICSS), 2016 49th Hawaii International Conference on
dc.rightsfechado
dc.sourceWOS
dc.titleAn Approach To Knowledge Acquisition Based On Verbal Semantics
dc.typeRelatório


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