An Semantic Rank for Web Crawler Based on Formal Concept Analysis

DOI

10.2991/iske.2007.246How to use a DOI?

Keywords

Formal Concept Analysis, Web Crawler, Concept Similarity, Ontology, Web Log

Abstract

Web Crawler is an important research in Search Engine. In this paper, a method for measuring the similarity of FCA concepts is proposed by using information content approach based on user Web log. In process of crawling Web pages for Web Crawler, in order to make choice of Web pages, the semantic rank of Web pages can be determined by using the similarity, other than relying on ontology with human domain expertise. The semantic rank can be made choice of Web pages for Web crawler.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yajun Du
AU  - Xinchun Li
PY  - 2007/10
DA  - 2007/10
TI  - An Semantic Rank for Web Crawler Based on Formal Concept Analysis
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1447
EP  - 1453
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.246
DO  - 10.2991/iske.2007.246
ID  - Du2007/10
ER  -