Fuzzy methods for knowledge discovery from multilingual text

Rowena Chau; Chung-Hsing Yeh

doi:10.1007/978-3-540-45224-9_111

Fuzzy methods for knowledge discovery from multilingual text

Rowena Chau, Chung-Hsing Yeh

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

Enabling navigation among a network of inter-related concepts associating conceptually relevant multilingual documents constitutes the fundamental support to global knowledge discovery. This requirement of organising multilingual document by concepts makes the goal of supporting global knowledge discovery a concept-based multilingual text categorization task. In this paper, intelligent methods for enabling concept-based multilingual text categorisation using fuzzy techniques are proposed. First, a universal concept space, encapsulating the semantic knowledge of the relationship between all multilingual terms and concepts, is generated using a fuzzy multilingual term clustering algorithm based on fuzzy c-means. Second, a fuzzy multilingual text classifier that applies the multilingual semantic knowledge for concept-based multilingual text categorization is developed using the fuzzy k-nearest neighbour classification technique. Referring to the multilingual text categorisation result as a browseable document directory, concept navigation among a multilingual document collection is facilitated.

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems
Subtitle of host publication	7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part I
Editors	V Palade, R J Howlett, L C Jain
Place of Publication	New York NY USA
Publisher	Springer
Pages	835-842
Number of pages	8
ISBN (Electronic)	9783540452249
ISBN (Print)	9783540408031
DOIs	https://doi.org/10.1007/978-3-540-45224-9_111
Publication status	Published - 2003
Event	International Conference on Knowledge-Based and Intelligent Information and Engineering Systems 2003 - Oxford, United Kingdom Duration: 3 Sept 2003 → 5 Sept 2003 Conference number: 7th https://link.springer.com/book/10.1007/978-3-540-45224-9 (Proceedings)

Publication series

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer
Volume	2773
ISSN (Print)	0302-9743

Conference

Conference	International Conference on Knowledge-Based and Intelligent Information and Engineering Systems 2003
Abbreviated title	KES 2003
Country/Territory	United Kingdom
City	Oxford
Period	3/09/03 → 5/09/03
Internet address	https://link.springer.com/book/10.1007/978-3-540-45224-9 (Proceedings)

Access to Document

10.1007/978-3-540-45224-9_111

Cite this

Chau, R., & Yeh, C.-H. (2003). Fuzzy methods for knowledge discovery from multilingual text. In V. Palade, R. J. Howlett, & L. C. Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems: 7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part I (pp. 835-842). (Lecture Notes in Artificial Intelligence; Vol. 2773). Springer. https://doi.org/10.1007/978-3-540-45224-9_111

Chau, Rowena ; Yeh, Chung-Hsing. / Fuzzy methods for knowledge discovery from multilingual text. Knowledge-Based Intelligent Information and Engineering Systems: 7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part I. editor / V Palade ; R J Howlett ; L C Jain. New York NY USA : Springer, 2003. pp. 835-842 (Lecture Notes in Artificial Intelligence).

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title = "Fuzzy methods for knowledge discovery from multilingual text",

abstract = "Enabling navigation among a network of inter-related concepts associating conceptually relevant multilingual documents constitutes the fundamental support to global knowledge discovery. This requirement of organising multilingual document by concepts makes the goal of supporting global knowledge discovery a concept-based multilingual text categorization task. In this paper, intelligent methods for enabling concept-based multilingual text categorisation using fuzzy techniques are proposed. First, a universal concept space, encapsulating the semantic knowledge of the relationship between all multilingual terms and concepts, is generated using a fuzzy multilingual term clustering algorithm based on fuzzy c-means. Second, a fuzzy multilingual text classifier that applies the multilingual semantic knowledge for concept-based multilingual text categorization is developed using the fuzzy k-nearest neighbour classification technique. Referring to the multilingual text categorisation result as a browseable document directory, concept navigation among a multilingual document collection is facilitated.",

author = "Rowena Chau and Chung-Hsing Yeh",

year = "2003",

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language = "English",

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editor = "V Palade and Howlett, {R J} and Jain, {L C}",

booktitle = "Knowledge-Based Intelligent Information and Engineering Systems",

note = "International Conference on Knowledge-Based and Intelligent Information and Engineering Systems 2003, KES 2003 ; Conference date: 03-09-2003 Through 05-09-2003",

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Chau, R & Yeh, C-H 2003, Fuzzy methods for knowledge discovery from multilingual text. in V Palade, RJ Howlett & LC Jain (eds), Knowledge-Based Intelligent Information and Engineering Systems: 7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part I. Lecture Notes in Artificial Intelligence, vol. 2773, Springer, New York NY USA, pp. 835-842, International Conference on Knowledge-Based and Intelligent Information and Engineering Systems 2003, Oxford, United Kingdom, 3/09/03. https://doi.org/10.1007/978-3-540-45224-9_111

Fuzzy methods for knowledge discovery from multilingual text. / Chau, Rowena; Yeh, Chung-Hsing.
Knowledge-Based Intelligent Information and Engineering Systems: 7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part I. ed. / V Palade; R J Howlett; L C Jain. New York NY USA: Springer, 2003. p. 835-842 (Lecture Notes in Artificial Intelligence; Vol. 2773).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - Enabling navigation among a network of inter-related concepts associating conceptually relevant multilingual documents constitutes the fundamental support to global knowledge discovery. This requirement of organising multilingual document by concepts makes the goal of supporting global knowledge discovery a concept-based multilingual text categorization task. In this paper, intelligent methods for enabling concept-based multilingual text categorisation using fuzzy techniques are proposed. First, a universal concept space, encapsulating the semantic knowledge of the relationship between all multilingual terms and concepts, is generated using a fuzzy multilingual term clustering algorithm based on fuzzy c-means. Second, a fuzzy multilingual text classifier that applies the multilingual semantic knowledge for concept-based multilingual text categorization is developed using the fuzzy k-nearest neighbour classification technique. Referring to the multilingual text categorisation result as a browseable document directory, concept navigation among a multilingual document collection is facilitated.

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Chau R, Yeh CH. Fuzzy methods for knowledge discovery from multilingual text. In Palade V, Howlett RJ, Jain LC, editors, Knowledge-Based Intelligent Information and Engineering Systems: 7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part I. New York NY USA: Springer. 2003. p. 835-842. (Lecture Notes in Artificial Intelligence). doi: 10.1007/978-3-540-45224-9_111