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http://dx.doi.org/10.7851/Ksrp.2017.23.3.037

Word Network Analysis based on Mutual Information for Ontology of Korean Rural Planning  

Lee, Jemyung (Division of Environmental Science and Technology, Kyoto University)
Publication Information
Journal of Korean Society of Rural Planning / v.23, no.3, 2017 , pp. 37-51 More about this Journal
Abstract
There has been a growing concern on ontology especially in recent knowledge-based industry and defining a field-customized semantic word network is essential for building it. In this paper, a word network for ontology is established with 785 publications of Korean Society of Rural Planning(KSRP), from 1995 to 2017. Semantic relationships between words in the publications were quantitatively measured with the 'normalized pointwise mutual information' based on the information theory. Appearance and co-appearance frequencies of nouns and adjectives in phrases are analyzed based on the assumption that a 'noun phrase' represents a single 'concept'. The word network of KSRP was compared with that of $WordNet^{TM}$, a world-wide thesaurus network, for the verification. It is proved that the KSRP's word network, established in this paper, provides words' semantic relationships based on the common concepts of Korean rural planning research field. With the results, it is expecting that the established word network can present more opportunity for preparation of the fourth industrial revolution to the field of the Korean rural planning.
Keywords
The Fourth Industrial Revolution; Information Theory(IT); Pointwise Mutual Information(PMI); Phrase analysis; Semantic word network;
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
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