{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T17:07:13Z","timestamp":1778605633730,"version":"3.51.4"},"reference-count":30,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2018,9,6]],"date-time":"2018-09-06T00:00:00Z","timestamp":1536192000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61379109"],"award-info":[{"award-number":["61379109"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Plan of Hunan Province","award":["2014GK2018"],"award-info":[{"award-number":["2014GK2018"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Web page clustering is an important technology for sorting network resources. By extraction and clustering based on the similarity of the Web page, a large amount of information on a Web page can be organized effectively. In this paper, after describing the extraction of Web feature words, calculation methods for the weighting of feature words are studied deeply. Taking Web pages as objects and Web feature words as attributes, a formal context is constructed for using formal concept analysis. An algorithm for constructing a concept lattice based on cross data links was proposed and was successfully applied. This method can be used to cluster the Web pages using the concept lattice hierarchy. Experimental results indicate that the proposed algorithm is better than previous competitors with regard to time consumption and the clustering effect.<\/jats:p>","DOI":"10.3390\/info9090228","type":"journal-article","created":{"date-parts":[[2018,9,6]],"date-time":"2018-09-06T10:38:38Z","timestamp":1536230318000},"page":"228","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Web Page Clustering Method Based on Formal Concept Analysis"],"prefix":"10.3390","volume":"9","author":[{"given":"Zuping","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Central South University, Changsha 410000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Central South University, Changsha 410000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiping","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Central South University, Changsha 410000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,9,6]]},"reference":[{"key":"ref_1","unstructured":"He, X., Ding, C.H., Zha, H., and Simon, H.D. 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Research of Web Search Result Clustering Based on Formal Concept Analysis. [Ph.D. Thesis, Xihua University].","DOI":"10.2991\/iske.2007.283"}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/9\/9\/228\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:19:11Z","timestamp":1760195951000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/9\/9\/228"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,6]]},"references-count":30,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2018,9]]}},"alternative-id":["info9090228"],"URL":"https:\/\/doi.org\/10.3390\/info9090228","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,9,6]]}}}