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Abstract

A computer program product is provided as an automatic mining system to identify a set of related information on the World Wide Web using the duality concept. The mining system addresses iteratively refines mutually dependent approximations to their identifications. Specifically, the mining system iteratively refines (i) pairs of phrases related in a specific way; (ii) the patterns of their occurrences in web pages; and (iii) the formation rules. In one embodiment, the automatic mining system identifies (acronym, expansion) pairs in terms of the patterns of their occurrences in the web pages and their formation rules. The automatic mining system includes a formation rule identifier that derives the formation rules, an acronym-expansion pair identifier that derives the (acronym, expansion) pairs, and a pattern identifier that derives the patterns. The database stores the (acronym, expansion) pairs, patterns, and formation rules. Initially, the database begins with small seed sets of (acronym, expansion) pairs, patterns, and formation rules that are continuously and iteratively broadened by the automatic mining system.

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First Claim