Welcome to the InfoSci Platform
A New Similarity Measure for Automatic Construction of the Unknown Word Lexical Dictionary

A New Similarity Measure for Automatic Construction of the Unknown Word Lexical Dictionary

Myunggwon Hwang, Pankoo Kim
Copyright: © 2011 |Pages: 18
ISBN13: 9781609605933|ISBN10: 1609605934|EISBN13: 9781609605940
DOI: 10.4018/978-1-60960-593-3.ch002
Cite Chapter Cite Chapter

MLA

Hwang, Myunggwon, and Pankoo Kim. "A New Similarity Measure for Automatic Construction of the Unknown Word Lexical Dictionary." Semantic Services, Interoperability and Web Applications: Emerging Concepts, edited by Amit Sheth, IGI Global, 2011, pp. 48-65. https://doi.org/10.4018/978-1-60960-593-3.ch002

APA

Hwang, M. & Kim, P. (2011). A New Similarity Measure for Automatic Construction of the Unknown Word Lexical Dictionary. In A. Sheth (Ed.), Semantic Services, Interoperability and Web Applications: Emerging Concepts (pp. 48-65). IGI Global. https://doi.org/10.4018/978-1-60960-593-3.ch002

Chicago

Hwang, Myunggwon, and Pankoo Kim. "A New Similarity Measure for Automatic Construction of the Unknown Word Lexical Dictionary." In Semantic Services, Interoperability and Web Applications: Emerging Concepts, edited by Amit Sheth, 48-65. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-593-3.ch002

Export Reference

Mendeley
Favorite

Abstract

This paper deals with research that automatically constructs a lexical dictionary of unknown words as an automatic lexical dictionary expansion. The lexical dictionary has been usefully applied to various fields for semantic information processing. It has limitations in which it only processes terms defined in the dictionary. Under this circumstance, the concept of “Unknown Word (UW)” is defined. UW is considered a word, not defined in WordNet, that is an existing representative lexical dictionary. Here is where a new method to construct UW lexical dictionary through inputting various document collections that are scattered on the WebWeb is proposed. The authors grasp related terms of UW and measure semantic relatedness (similarity) between an UW and a related term(s). The relatedness is obtained by calculating both probabilistic relationship and semantic relationship. This research can extend UW lexical dictionary with an abundant number of UW. It is also possible to prepare a foundation for semantic retrieval by simultaneously using the UW lexical dictionary and WordNet.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.