{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T05:56:58Z","timestamp":1740808618129,"version":"3.38.0"},"reference-count":33,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2007,8,1]],"date-time":"2007-08-01T00:00:00Z","timestamp":1185926400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2007,8]]},"abstract":"<jats:p> An important precondition for the success of the Semantic Web is founded on the principle that the content of web pages will be semantically annotated. This paper proposes a method of automatically acquiring semantic annotations (AASA). In the AASA method, we employ a combination of data mining and optimization to acquire semantic annotations. Key features of AASA include combining association rules, inference mechanism, genetic algorithm and self-organizing map to create semantic annotations, and using the k-nearest-neighbor query combined with simulated annealing to maintain semantic annotations. <\/jats:p>","DOI":"10.1177\/0165551506072164","type":"journal-article","created":{"date-parts":[[2007,3,24]],"date-time":"2007-03-24T00:08:48Z","timestamp":1174694928000},"page":"435-450","source":"Crossref","is-referenced-by-count":7,"title":["AASA: a Method of Automatically Acquiring Semantic Annotations"],"prefix":"10.1177","volume":"33","author":[{"given":"Lixin","family":"Han","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Hohai University, State Key Laboratory of Novel Software Technology, Nanjing University, and Department of Mathematics, Nanjing University, China,"}]},{"given":"Guihai","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Novel Software Technology, Nanjing University, China"}]},{"given":"Li","family":"Xie","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Novel Software Technology, Nanjing University, China"}]}],"member":"179","published-online":{"date-parts":[[2007,8,1]]},"reference":[{"volume-title":"Proceedings of the Thirteenth International World Wide Web Conference","author":"P. 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