Title :
Using information density to navigate the Web
Author :
Ellman, Jeremy ; Tait, John
Author_Institution :
Sch. of Comput. Studies & Inf. Syst., Sunderland Univ., UK
Abstract :
The paper describes a system being developed to identify Internet WWW pages that most closely respond to a users´ requirements. The system is designed to enhance, rather than replace existing search engines. It collects pages identified by the search engine, and then uses an external lexical thesaurus to analyse their contents. This provides a secondary ordering metric for the pages based on a case based approach to text analysis
Keywords :
Internet; Internet WWW page identification; Web navigation; case based text analysis; external lexical thesaurus; information density; page content analysis; search engines; secondary ordering metric; user requirements;
Conference_Titel :
Intelligent World Wide Web Agents (Digest No.: 1997/118), IEE Colloquium on
Conference_Location :
London
DOI :
10.1049/ic:19970649