2018³â Ãß°èÇмú´ëȸ
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
A Study on Ontology Generation by Machine Learning in Big Data |
ÀúÀÚ(Author) |
Ȳġ°ï
À±Ã¢Ç¥
Chi-Gon Hwang
Chang-Pyo Yoon
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¿ø¹®¼ö·Ïó(Citation) |
VOL 22 NO. 02 PP. 0645 ~ 0646 (2018. 10) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
Recently, the concept of machine learning has been introduced as a decision making method through data processing. Machine learning uses the results of running based on existing data as a means of decision making. The data generated by the development of technology is vast. This data is called big data. It is important to extract the necessary data from these data. In this paper, we propose a method for extracting related data for constructing an ontology through machine learning. The results of machine learning can be given a relationship from a semantic perspective. it can be added to the ontology to support relationships depending on the needs of the application.
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Å°¿öµå(Keyword) |
Ontology
Machine Learning
Semantic
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ÆÄÀÏ÷ºÎ |
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