Clustering of Web Document Exploiting with the Co-link in Hypertext

Knowledge organization is the way we humans understand the world. There are two types of information organization mechanisms studied in information retrieval: namely classification md clustering. Classification organizes entities by pigeonholing them into predefined categories, whereas clustering organizes information by grouping similar or related entities together. The system of the Internet information resources extracts a keyword from the words which appear in the web document and draws up a reverse file. Term clustering based on grouping related terms, however, did not prove overly successful and was mostly abandoned in cases of documents used different languages each other or door-way-pages composed of only an anchor text. This study examines infometric analysis and clustering possibility of web documents based on co-link topology of web pages.

keywords: 웹 문서 조직, 웹 문서 클러스터링, 동시링크

바로가기메뉴

Article Contents

Vol.34 No.2

Clustering of Web Document Exploiting with the Co-link in Hypertext

Abstract

Journal of Korean Library and Information Science Society