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An Semantic Rank for Web Crawler Based on Formal Concept Analysis
| Content Provider | Semantic Scholar |
|---|---|
| Author | Li, Xinchun |
| Copyright Year | 2007 |
| 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. |
| File Format | PDF HTM / HTML |
| DOI | 10.2991/iske.2007.246 |
| Alternate Webpage(s) | https://download.atlantis-press.com/article/1473.pdf |
| Alternate Webpage(s) | https://doi.org/10.2991/iske.2007.246 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |