Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/54715
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dc.contributor.advisorNurdiati,Sri
dc.contributor.advisorRidha,Ahmad
dc.contributor.authorWalayatullah, Musthafa Tanfiz Syariat
dc.date.accessioned2012-06-07T04:14:32Z
dc.date.available2012-06-07T04:14:32Z
dc.date.issued2012
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/54715
dc.description.abstractKnowledge Graph (KG) is one of natural languange processing representation methods in explaining and modeling natural languange. This method is able to cope with text ambiguity. BogorDelfConStruct is the first KG application developed in Indonesia using MATLAB; however, this application requires MATLAB which is a closed platform application. Previous research has produced 21 word graph patterns for adverbs. This research developed a Java desktop application called KG_Editor that can be used to analyze adverbs using KG. Modules needed by KG_EDITOR are word graph component module and adverb word graph generation module. Overally, KG_EDITOR development has been able to recognize 21 word graph patterns for adverbs in accordance with the previous researchen
dc.subjectBogor Agricultural University (IPB)en
dc.subjectadverben
dc.subjectknowledge graphen
dc.subjectword graphen
dc.subjectKamus Besar Bahasa Indonesia (KBBI)en
dc.titlePengembangan KG_EDITOR Berbasis Java Desktop untuk Modul Kata Keteranganen
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