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Ontology is known to be one of the most important technologies in achieving semantic web. It is critical as it represents the knowledge in a machine readable state. World Wide Web Consortium (W3C) has been contributing to the development of ontology for the last several years. However, the recommendation of W3C left out HTML despite the massive amount of information it contains. Also, it is difficult and time consuming to keep up with all the technologies especially in the case of constructing ontology. Thus, we propose a module and methods that reuse HTML documents, extract necessary information from HTML tags and mapping it to OWL 2. We will be combining two kinds of approaches which will be the structural refinement for making an ontology skeleton and linguistic approach for adding detailed information onto the skeleton.

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기사명 저자명 페이지 원문 목차
Specification and Implementation of Projective Texturing Node in X3D In-Kwon Kim, Ho-Wook Jang, Kwan-Hee Yoo, Jong-Sung Ha pp.1-5

Privacy Enhanced Data Security Mechanism in a Large-Scale Distributed Computing System for HTC and MTC Seungwoo Rho, Sangbae Park, Soonwook Hwang pp.6-11

Deriving Topics for Safety of Folk Villages Following Scope and Content of ICT-Based DPD Yong-Sun Oh pp.12-23

Semi-Automatic Ontology Construction from HTML Documents : A conversion of Text-formed Information into OWL 2 Chan jong Im, Do wan Kim pp.24-30

Realization of a Motion-based Interactive System Using Extraction of Real-time Search Terms Sooyeon Lim, Dongin Lee pp.31-36

A Friend Recommendation Scheme in Social Network Environments Kyoungsoo Bok, Hyeonwook Jeon, Chunghui Lee, Jaesoo Yoo pp.37-41

Efficient Algorithms for Approximating the Centroids of Monotone Directions in a Polyhedron Jong-Sung Ha, Kwan-Hee Yoo pp.42-48

Instructional Design in the Cyber Classroom for Secondary Students' Basic English Language Competence Kyung-Suk Chang, Jue-Kyoung Pae, Young-Joo Jeon pp.49-57

Development of a Sustainable Community-based Hazard Map Creation Support System for Traditional Towns with Local Heritage Yasuhisa Okazaki, Seina Mori, Hiroshi Wakuya, Nobuo Mishima, Yukuo Hayashida, Byung-Won Min pp.58-65

Analysis of a Korea-based Language Teacher Organization Public Social Networking Service David Kent pp.66-74

참고문헌 (23건) : 자료제공( 네이버학술정보 )

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번호 참고문헌 국회도서관 소장유무
1 Toward principles for the design of ontologies used for knowledge sharing? 네이버 미소장
2 Basic Formal Ontology, Overview, 2014. Online, http://infomis.uni-saarland.de/bfo/overview - [Last accessed Jul. 14, 2015] 미소장
3 Suggested Upper Merged Ontology, Home, 2015. Online, http://www.adampease.org/OP/index.html - [Last accessed Jul. 14, 2015] 미소장
4 Hyoun-Soo KWAK, Su-Kayoung Kim, Yeong-Geun Kim, and Kee-Hong Ann, “A Conversion System of HTML Document into OWL Ontology Language, Korean journal Information Processing Society, vol. 11, no. 2, 2004, pp. 539-542. 미소장
5 A Conversion from HTML5 to OWL Ontology 소장
6 Jsoup: Java HTML Parser, 2015. Online, http://jsoup.org/- [Last accessed Aug. 25, 2015] 미소장
7 TOUTANOVA, Kristina, et al., “Feature-rich part-ofspeech tagging with a cyclic dependency network,” In:Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology-Volume 1, Association for Computational Linguistics, 2003, pp. 173-180. 미소장
8 Luciano DEL CORRO and Rainer GEMULLA, “Clausie:clause-based open information extraction,” In:Proceedings of the 22nd international conference on World Wide Web, International World Wide Web Conferences Steering Committee, 2013, pp. 355-366. 미소장
9 Gabor ANGELI, Melvin Johnson PREMKUMAR, and Christopher D. MANNING, “Leveraging Linguistic Structure for Open Domain Information Extraction,” In:Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL, 2015, pp. 26-31. 미소장
10 Hoon HWANGBO and Hongchul LEE, “Reusing of information constructed in HTML documents: A conversion of HTML into OWL,” In: Control, Automation and Systems, ICCAS 2008, International Conference on. IEEE, 2008, pp. 871-875. 미소장
11 Uta PRISS, “Formal concept analysis in information science,” Arist, vol. 40, no. 1, 2006, pp. 521-543. 미소장
12 Lauren WOOD, et al. Document Object Model (DOM)Level 3 Core Specification, 2000. 미소장
13 Saikat MUKHERJEE, et al., “Automatic discovery of semantic structures in html documents,” In: Proceedings of the Seventh International Conference on Document Analysis and Recognition-Volume 1, IEEE Computer Society, 2003, p. 245. 미소장
14 Min-Gu Kim, “An Intelligent Taxonomy Relation Extraction System for Automatic Ontology Construction,”Ph.D. Thesis, Ajou University, Suwon, Republic of Korea, p. 105. 미소장
15 Bernardo Cuenca GRAU, et al, “OWL 2: The next step for OWL,” Web Semantics: science, services and agents on the World Wide Web, vol. 6, no. 4, 2008, pp. 309-322. 미소장
16 The Stanford Natural Language Processing Group:Software, 2014. Online, http://nlp.stanford.edu/software/index.shtml - [Last accessed Jul. 22, 2015]. 미소장
17 WordNet: a lexical database for English 네이버 미소장
18 Universal Dependencies, Universal dependency relations, 2014. Online, http://universaldependencies.github.io/docs/#language-u -[Last accessed Aug. 5, 2015]. 미소장
19 GLOMIS, What is GLOMIS?, 2014. Online, http://glomis.pcu.ac.kr/ - [Last accessed August 18, 2015]. 미소장
20 Named Entities: Recognition, classification and use 네이버 미소장
21 The Stanford Natural Language Processing Group, Stanford Named Entity Recognizer, 2015. Online, http://nlp.stanford.edu/software/CRF-NER.html - [Last accessed Feb. 15, 2016]. 미소장
22 The Stanford Natural Language Processing Group, Stanford Open Information Extraction, 2015. Online, http://nlp.stanford.edu/software/openie.html - [Last accessed Feb. 15, 2016]. 미소장
23 Protégé, Products, 2015. Online, http://protege.stanford.edu/support.php - [Last accessed Feb. 15, 2016]. 미소장

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