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Contents

Automatic in-text keyword tagging based on information retrieval / Jinsuk Kim ; Du-Seok Jin ; KwangYoung Kim ; Ho-Seop Choe 1

Abstract 1

1. Introduction 1

2. Related Work 2

2.1. Out-of-text Keyword Tagging 2

2.2. In-text Keyword Tagging 2

3. Automatic In-Text Keyword Tagging 3

4. Experiments 4

4.1. Experimental Environment 4

4.2. Test Data 4

4.3. Keyword Dictionary 5

4.4. Selection of Candidate Keywords 5

5. Experimental Results 5

5.1. Input Document Length (m) vs. Automated In-Text Keyword Tagging 5

5.2. Number of Dictionary Items (N) vs. Automated In-Text Keyword Tagging 5

6. Conclusions and Future Directions 6

Acknowledgment 7

Reference 7

[저자소개] 8

초록보기

As shown in Wikipedia, tagging or cross-linking through major keywords in a document collection improves not only the readability of documents but also responsive and adaptive navigation among related documents. In recent years, the Semantic Web has increased the importance of social tagging as a key feature of the Web 2.0 and, as its crucial phenotype, Tag Cloud has emerged to the public. In this paper we provide an efficient method of automated in-text keyword tagging based on large-scale controlled term collection or keyword dictionary, where the computational complexity of O(mN) - if a pattern matching algorithm is used - can be reduced to O(mlogN) - if an Information Retrieval technique is adopted - while m is the length of target document and N is the total number of candidate terms to be tagged. The result shows that automatic in-text tagging with keywords filtered by Information Retrieval speeds up to about 6 ~ 40 times compared with the fastest pattern matching algorithm.

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Automatic in-text keyword tagging based on information retrieval Jinsuk Kim ;Du-Seok Jin ;KwangYoung Kim ;Ho-Seop Choe pp.159-166

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참고문헌 (19건) : 자료제공( 네이버학술정보 )

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번호 참고문헌 국회도서관 소장유무
1 Sergey Brin and Lawrence Page, “The Anatomy of a Large-scale Hypertextual Web Search Engine,” In Computer Networks and ISDN Systems: Proceeings of the Seventh International World Wide Web Conference, Volume 30(1-7):107-117, Apr. 1998. 미소장
2 Hyeon Kim, “Handling XML documents in Hypertext Compilation of the Encyclopedia of Korean Local Culture,” Human Contents, 9:91-123, 2007. 미소장
3 Jihong Zeng and Peter A. Bloniarz, “From Keywords to Links: An Automatic Approach,” In Proceedings: International Conference on Information Technology: Coding and Computing (ITCC’04), Vol.1, pp.283- 286, Las Vegas, Nevada, USA, Apr. 2004. 미소장
4 Practical fast searching in strings 네이버 미소장
5 William B. Frakes and Ricardo Baeza-Yates, “Information Retrieval: Data Structures & Algorithms,” Prentice-Hall, 1992. 미소장
6 Jinsuk Kim, Du-Seok Jin, Yusoo Choi, Chang-Hoo Jeong, Kwangyoung Kim, Sung-Pil Choi, Minho Lee, Min-Hee Cho, Ho-Seop Choe, Hwa-Mook Yoon, and Jeong-Hyun Seo, “Toward DB-IR Integration: Per- Document Basis Transactional Index Maintenance,” In Proceedings: The 6th International Conference on Advanced Language Processing and Web Information Technology (ALPIT’07), Vol.6, pp.452-462, Luoyang, ††† http://www.animalpicturesarchive.com Henan, China, Aug. 2007. 미소장
7 EXPERT SYSTEMS WITH APPLICATIONS: Special Issue: Intelligent Bioinformatics Systems 네이버 미소장
8 Transforming text into hypertext for a compact disc encyclopedia 네이버 미소장
9 Automatic cross-referencing of HCI guidelines by statistical methods 네이버 미소장
10 From text to hypertext by indexing 네이버 미소장
11 Jakob Voβ, “Tagging, Folksonomy & Co-Renaissance of Manual Indexing”, In Proceedings: The 10th International Symposium for Information Science, pp.234- 254, Cologne, Germany, 2007. 미소장
12 Gilad Mishne, “AutoTag: A Collaborative Approach to Automated Tag Assignment for Weblog Posts”, In WWW '06: Proceedings of the 15th international conference on World Wide Web, pp.953-954, New York, USA, 2006. 미소장
13 Sanjay Sood, Sara Owsley, Kristian Hammond and Larry Birnbaum, “TagAssist: Automatic Tag Suggestion for Blog Posts”, In Proceedings: International Conference on Weblogs and Social Media (ICWSM 2007), Colorado, USA, 2007. 미소장
14 Robert Jäschke, Leandro Marinho, Andreas Hotho, Lars Schmidt-Thieme, and Gerd Stumme, “Tag Recommendations in Folksonomies”, In Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2007), pp.506-514, September 17-21, 2007, Warsaw, Poland. 미소장
15 Yang Song, Ziming Zhuang, Huajing Li, Qiankun Zhao, Jia Li, Wang-Chien Lee, and C. Lee Giles, “Real-time Automatic Tag Recommendation”, In Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR’08), pp.515-522, July 20-24, 2008, Singapore, Singapore. 미소장
16 Stephen Dill, Nadav Eiron, David Gibson, Daniel Gruhl, R. Guha, Anant Jhingran, Tapas Kanungo, Sridhar Rajagopalan, Andrew Tomkins, John A. Tomlin, and Jason Y. Zien, “SemTag and Seeker: Bootstrapping the Semantic Web via Automated Semantic Annotation”, In Proceedings of the 12th International Conference on World Wide Web (WWW’03) Budapest, Hungary, 2003. 미소장
17 Paul - Alexandru Chirita, Stefania Costache, Wolfgang Nejdl, and Siegfried Handschuh, “P-TAG: Large Scale Automatic Generation of Personalized Annotation Tags for the Web”, In Proceedings of the 16th international conference on World Wide Web, pp.845- 854, May 08-12, 2007, Banff, Alberta, Canada. 미소장
18 Technion Grigory Begelman, Citrin I. Philipp Keller, and Rawsugar Frank Smadja. “Automated Tag Clustering: Improving Search and Exploration in the Tag Space”. In Collaborative Web Tagging Workshop at WWW2006, Edinburgh, Scotland, 2006. Online: http://www.rawsugar.com/www2006/20.pdf. 미소장
19 Usage patterns of collaborative tagging systems 네이버 미소장

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