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  1. Proceedings of the 2nd international workshop on Web information and data management (WIDM '99)
  2. Mining the Web for acronyms using the duality of patterns and relations
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Mining the Web for acronyms using the duality of patterns and relations

Content Provider ACM Digital Library
Author Yi, Jeonghee Sundaresan, Neel
Abstract The Web is a rich source of information, but this information is scattered and hidden in the diversity of web pages. Search engines are windows to the web. However, the current search engines, designed to identify pages with specified phrases have very limited power. For example, they cannot search for phrases related in a particular way (e.g. books and their authors).In this paper we present a solution for identifying a set of inter-related information on the web using the duality concept. Duality problems arise when one tries to identify a pair of inter-related phrases such as (book, author), (name, email) or (acronym, expansion) relations. We propose a solution to this problem that iteratively refines mutually dependent approximations to their identifications. Specifically, we iteratively refine i) pairs of phrases related in a specific way, and ii) the patterns of their occurrences in web pages, i.e. the ways in which the related phrases are marked in the pages. We cast light on the general solution of the duality problems in the web by concentrating on one paradigmatic duality problem i.e. identifying (acronym, expansion) pairs in terms of the patterns of their occurrences in the web pages. The solution to this problem involves two mutually dependent duality problems of 1) the duality between the related pairs and their patterns, and 2) the duality between the related pairs and the acronym formulation rules.
Starting Page 48
Ending Page 52
Page Count 5
File Format PDF
ISBN 1581132212
DOI 10.1145/319759.319782
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 1999-11-01
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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