{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T20:16:15Z","timestamp":1648584975530},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11,9]]},"abstract":"<jats:p>The traditional crawlers have difficulty in implementing semantic analysis. Therefore, the focused crawler technologies with topic preference characteristics have received many attentions in the recent years. To increase the precision of focused crawlers and prevent \u201ctopic drifting\u201d, this paper adopts the comprehensive relevancy evaluation (CRE) of hyperlinks based on the combination of web content and link structure. In addition, the improved version of the energy landscape paving (ELP) algorithm that is a class of metropolis-sampling-based global optimization method is proposed to avoid the focused crawler falling into local optima. By incorporating the CRE strategy into the improved ELP, a novel focused crawler strategy denoted by IELP is proposed. The experimental results on rainstorm disasters domain show that the precision of the proposed focused crawler is obviously promoted compared to other focused crawlers in literature, illustrating the ability of the IELP to retrieve topic-related web pages.<\/jats:p>","DOI":"10.3233\/faia200731","type":"book-chapter","created":{"date-parts":[[2020,11,10]],"date-time":"2020-11-10T18:48:15Z","timestamp":1605034095000},"source":"Crossref","is-referenced-by-count":0,"title":["Focused Crawler Strategy Based on Improved Energy Landscape Paving Algorithm"],"prefix":"10.3233","author":[{"given":"Jingfa","family":"Liu","sequence":"first","affiliation":[{"name":"Guangzhou Key Laboratory of Multilingual Intelligent Processing, Guangdong, University of Foreign Studies, Guangzhou 510006, China"},{"name":"School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou 510006, China"}]},{"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Guangzhou Key Laboratory of Multilingual Intelligent Processing, Guangdong, University of Foreign Studies, Guangzhou 510006, China"},{"name":"School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou 510006, China"}]},{"given":"Zhihe","family":"Yang","sequence":"additional","affiliation":[{"name":"Guangzhou Key Laboratory of Multilingual Intelligent Processing, Guangdong, University of Foreign Studies, Guangzhou 510006, China"},{"name":"School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou 510006, China"}]},{"given":"Ziang","family":"Liu","sequence":"additional","affiliation":[{"name":"Faculty of Science, University of Alberta, Edmonton T6G2H6, Canada"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining VI"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA200731","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,10]],"date-time":"2020-11-10T18:48:16Z","timestamp":1605034096000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA200731"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia200731","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,9]]}}}