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Concretely, the authors propose two novel methods to semantic search by combining formal concept analysis, rough set theory, and similarity reasoning. In particular, the authors use Wikipedia to compute the similarity of concepts (i.e., keywords). The experimental results show that the authors' proposals perform better than some of the most representative similarity search methods and sustain the intuitions with respect to human judgements.<\/jats:p>","DOI":"10.4018\/ijswis.2018070105","type":"journal-article","created":{"date-parts":[[2018,5,15]],"date-time":"2018-05-15T12:38:21Z","timestamp":1526387901000},"page":"99-119","source":"Crossref","is-referenced-by-count":7,"title":["Semantic Search Exploiting Formal Concept Analysis, Rough Sets, and Wikipedia"],"prefix":"10.4018","volume":"14","author":[{"given":"Yuncheng","family":"Jiang","sequence":"first","affiliation":[{"name":"School of Computer Science, South China Normal University, Guangzhou, China"}]},{"given":"Mingxuan","family":"Yang","sequence":"additional","affiliation":[{"name":"South China Normal University, Guangzhou, China"}]}],"member":"2432","reference":[{"key":"IJSWIS.2018070105-0","doi-asserted-by":"publisher","DOI":"10.1145\/1060745.1060766"},{"key":"IJSWIS.2018070105-1","doi-asserted-by":"publisher","DOI":"10.4018\/IJSWIS.2015010101"},{"key":"IJSWIS.2018070105-2","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2014.10.001"},{"key":"IJSWIS.2018070105-3","article-title":"Semantic Search on the Web. 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