{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:27:36Z","timestamp":1777854456675,"version":"3.51.4"},"reference-count":20,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2012,10,15]],"date-time":"2012-10-15T00:00:00Z","timestamp":1350259200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2012,12]]},"abstract":"<jats:p>The existing evidence shows that Chinese disjointed literature-based knowledge discovery is largely limited to traditional Chinese medical literature instead of the entire medical literature available in Chinese. Some limitations exist in current research when put it into practice, for many reasons, including the data all coming from a single source. During the process of knowledge discovery, the problem of excessively large intermediate and target concept sets still needs attention. This Chinese medical disjointed literature-based knowledge discovery system was constructed by applying research to the concepts of extraction, pruning and sorting algorithms in an endeavour to solve the existing problems associated with disjointed literature-based knowledge discovery systems. The system was tested and verified in accordance with the classic magnesium\u2013migraine hypothesis of Dr Swanson. Future improvements and development of the system are also proposed.<\/jats:p>","DOI":"10.1177\/0165551512461104","type":"journal-article","created":{"date-parts":[[2012,10,15]],"date-time":"2012-10-15T20:36:22Z","timestamp":1350333382000},"page":"532-539","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Structuring the Chinese disjointed literature-based knowledge discovery system: The key technologies to success"],"prefix":"10.1177","volume":"38","author":[{"given":"Qing","family":"Qian","sequence":"first","affiliation":[{"name":"Institute of Medical Information, Chinese Academy of Medical Sciences, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Na","family":"Hong","sequence":"additional","affiliation":[{"name":"Institute of Medical Information, Chinese Academy of Medical Sciences, 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