Abstraksi teks berbahasa Indonesia menggunakan teori knowledge graph

Indonesian Text Abstraction using Knowledge Graph Theory

dc.contributor.author	Febriatmoko, Dimas
dc.date.accessioned	2011-07-06T03:09:14Z
dc.date.available	2011-07-06T03:09:14Z
dc.date.issued	2011
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/47132
dc.description.abstract	Text summarization system has been developed in order to select several sentences based on certain criteria. However, this method tends to omit some informations contained in unselected sentences. Therefore, a system is needed to get a text abstraction, which represents the whole informations contained in the original text. Knowledge graph offers the way to built such system. Knowledge Graph is a new method in Natural Language Processing (NLP) that represents a knowledge in a form of graph. Using this method, every sentence in the full text version can be represented into graphs which can be further analyzed and gathered into a single graph that describes the meaning of the full text. The result of this research is a procedure to implement knowledge graph theory to get an abstraction of the text.	en
dc.publisher	IPB (Bogor Agricultural University)
dc.subject	knowledge graph	en
dc.subject	natural language processing	en
dc.subject	Bogor Agricultural University (IPB)	en
dc.title	Abstraksi teks berbahasa Indonesia menggunakan teori knowledge graph	IND
dc.title	Indonesian Text Abstraction using Knowledge Graph Theory	en