{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:08:42Z","timestamp":1754154522518,"version":"3.41.2"},"reference-count":18,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2012,6,29]],"date-time":"2012-06-29T00:00:00Z","timestamp":1340928000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,6,29]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>The algorithm of disjoint literature\u2010based knowledge discovery provides a convenient, efficient and effective auxiliary method for scientific research. Based on an analysis of Swanson's A\u2010B\u2010C model of disjoint literature\u2010based knowledge discovery and Gordon's intermediate literature theory, this paper seeks to propose a more comprehensive compound correlation model for disjoint literature\u2010based knowledge discovery.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>A new algorithm of vector space model (VSM) based disjoint literature\u2010based knowledge discovery is designed to implement the compound correlation model.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The validity tests showed that this new model not only simulated both of Swanson's early and well\u2010known discoveries of Raynaud's disease\u2010fish oil and migraine\u2010magnesium connections successfully, but also applied to knowledge discovery in the agricultural economics literature in the Chinese language.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>Although the workload was reduced to the minimum under the compound correlation model compared with other algorithms and models, part of the work needed some manual intervention in the process of disjoint literature\u2010based knowledge discovery with the VSM\u2010based compound correlation model.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>The algorithm was capable of knowledge discovery with a large\u2010scale dataset and had an advantage in identifying a series of hidden connections among a set of literatures. Therefore, application of the model might be extended to more fields.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>Traditional two\u2010step knowledge discovery procedures were integrated into the model, which contained open and closed disjoint literature\u2010based knowledge discovery.<\/jats:p><\/jats:sec>","DOI":"10.1108\/00012531211244770","type":"journal-article","created":{"date-parts":[[2012,6,23]],"date-time":"2012-06-23T07:14:12Z","timestamp":1340435652000},"page":"423-436","source":"Crossref","is-referenced-by-count":3,"title":["A compound correlation model for disjoint literature\u2010based knowledge discovery"],"prefix":"10.1108","volume":"64","author":[{"given":"Shuiqing","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2022020620503623500_b1","doi-asserted-by":"crossref","unstructured":"Chen, L., Liu, H. and Friedman, C. (2005), \u201cGene name ambiguity of eukaryotic nomenclatures\u201d, Bioinformatics, Vol. 21 No. 2, pp. 248\u201056.","DOI":"10.1093\/bioinformatics\/bth496"},{"key":"key2022020620503623500_b2","doi-asserted-by":"crossref","unstructured":"Gao, J., Goodman, J., Li, M. and Lee, K. (2002), \u201cToward a unified approach to statistical language modeling for Chinese\u201d, ACM Transactions on Asian Language Information Processing, Vol. 1 No. 7, pp. 3\u201033.","DOI":"10.1145\/595576.595578"},{"key":"key2022020620503623500_b3","doi-asserted-by":"crossref","unstructured":"Gordon, M., Lindsay, R.K. and Fan, W. (2001), \u201cLiterature\u2010based discovery on the World Wide Web\u201d, ACM Transactions on Internet Technology, Vol. 2 No. 4, pp. 261\u201075.","DOI":"10.1145\/604596.604597"},{"key":"key2022020620503623500_b4","doi-asserted-by":"crossref","unstructured":"Gordon, M.D. and Dumais, S. 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