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dc.contributor.advisorNurdiati, Sri
dc.contributor.authorHenry, Christian
dc.date.accessioned2011-07-15T06:18:02Z
dc.date.available2011-07-15T06:18:02Z
dc.date.issued2011
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/48273
dc.description.abstractKnowledge Graph (KG) is one of natural language processing methods that is able to represent the result of semantic analysis of a text in a graph form. Until now, there are only a few researches using KG to do semantic analysis for texts in Indonesian language. They were mainly focus on analyzing text, constructing rules to analyze text and engineering to understand the text. Some other researches have done semantic analysis from various part-of-speech. Nevertheless, the results of the research have not been implemented yet. To realize a long term goal of doing text abstraction automatically, BogorDelftConstruct has been developed as an early stage prototype. In line with that, this research implemented semantic analysis for one part-of-speech in BogorDelftConstruct.en
dc.publisherIPB (Bogor Agricultural University)
dc.subjectBogor Agricultural University (IPB)en
dc.subjectknowledge graphen
dc.subjectBogorDelftConstructen
dc.subjectverb word graphen
dc.subjectstemmingen
dc.titlePenambahan modul pembentukan Word Graph kata kerja pada aplikasi BogorDelftConstructen


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