An Semantic Rank for Web Crawler Based on Formal Concept Analysis
- 10.2991/iske.2007.246How to use a DOI?
- Formal Concept Analysis, Web Crawler, Concept Similarity, Ontology, Web Log
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.
- © 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/).
Cite this article
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 -