{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:14:58Z","timestamp":1754158498870,"version":"3.41.2"},"reference-count":52,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2014,5,27]],"date-time":"2014-05-27T00:00:00Z","timestamp":1401148800000},"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":[[2014,5,27]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 This paper aims to solve the disadvantages of content-based domain ontology (CBDO) and metadata-based domain ontology (MDO) and improve organization and discovery efficiency of library resources by resource ontology (RO). <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 The paper constructed an RO model. Methods of informetrics are utilized to reveal semantic relationships among library resources. Methods of ontology, ontology-relational database mapping (O-R mapping) and relational database modelling are utilized to construct RO. Take author co-occurrence for example, the paper demonstrated the capability of RO model. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 RO not only revealed the deep-level semantic relationships of metadata of library resources but also realized totally computer-automated processing. RO improved the efficiency of knowledge organization and discovery. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title>\n               <jats:p> \u2013 Semantic relationships revealed by RO are limited to simple metadata, which makes it difficult to reveal fine-grained semantic relationships. Ongoing research focuses on the revelation of semantic relationships based on the title and abstract. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title>\n               <jats:p> \u2013 The paper includes implications for utilizing methods of Informetrics to construct ontology. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 This paper proposed a standardized process of ontology construction in library resources. It may be of potential interest for anyone who needs to effectively organize library resources.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/el-05-2012-0056","type":"journal-article","created":{"date-parts":[[2014,7,10]],"date-time":"2014-07-10T12:58:10Z","timestamp":1404997090000},"page":"341-362","source":"Crossref","is-referenced-by-count":2,"title":["Library resources semantization based on resource ontology"],"prefix":"10.1108","volume":"32","author":[{"given":"Fan","family":"Yu","sequence":"first","affiliation":[]},{"given":"Junping","family":"Qiu","sequence":"first","affiliation":[]},{"given":"Wen","family":"Lou","sequence":"first","affiliation":[]}],"member":"140","reference":[{"key":"key2020123121213302800_b1","unstructured":"Agrawal, R.\n                and \n                  Somani, A.\n                (2001), \u201cStorage and querying of e-commerce data\u201d, in Proceedings of the 27th VLDB Conference, Roma, Italy, pp. 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\u201cTheoretical research on semantization of library resources based on informetrics analysis\u201d, Journal of Library Science in China, Vol. 38 No. 23, pp. 71-78."},{"key":"key2020123121213302800_b22","unstructured":"Junping, Q.\n                and \n                  Feifei, W.\n                (2010), \u201cAnalysis on author cooperation relationship of competitive intelligence research in China based on SNA\u201d, Library Tribune, Vol. 30 No. 6, pp. 35-40."},{"key":"key2020123121213302800_b23","unstructured":"Junping, Q.\n                and \n                  Hui, Q.\n                (2011), \u201cStudy on the knowledge diffusion in the network of Chinese research institutions\u201d, Knowledge of Library and Information Science, Vol. 144 No. 6, pp. 5-11."},{"key":"key2020123121213302800_b24","unstructured":"Junping, Q.\n                and \n                  Weihua, Z.\n                (2008), \u201cA metric demonstration of journal co-citation\u201d, Information Science, 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30 No. 7, pp. 48-51."},{"key":"key2020123121213302800_b32","doi-asserted-by":"crossref","unstructured":"Otte, E.\n                and \n                  Rousseau, R.\n                (2002), \u201cSocial network analysis: a powerful strategy, also for the information sciences\u201d, Journal of Information Science, Vol. 28 No. 6, pp. 443-455.","DOI":"10.1177\/016555150202800601"},{"key":"key2020123121213302800_b33","unstructured":"Qiang, S.\n                and \n                  Yongfu, J.\n                (2006), \u201cKnowledge serialization of library\u201d, Library Theory and Practice, Vol. 28 No. 4, pp. 35-36."},{"key":"key2020123121213302800_b34","unstructured":"RuiMin, M.\n                and \n                  Chaoqun, N.\n                (2011), \u201cA study on intellectual structure and the evolution of library and information science in China based on author co-citation analysis\u201d, Journal of Library Science in China, Vol. 37 No. 196, pp. 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                Feng, H.\n                (2011), \u201cResearch of Chinese ontology learning based on How Net\u201d, Computer Technology and Development, Vol. 21 No. 6, pp. 77-84."},{"key":"key2020123121213302800_b40","unstructured":"Wenta, Z.\n               , \n                  Haojie, S.\n                and \n                  Gong, W.\n                (2008), \u201cResearch on Sino-Russia cooperation from Co-authors of SCI\u201d, Forum on Science and Technology in China, Vol. 22 No. 2, pp. 139-144."},{"key":"key2020123121213302800_b41","unstructured":"Yahong, X.\n                and \n                  Zhuoming, X.\n                (2002), \u201cHow to store RDF in a relational database\u201d, Computer and Modernization, Vol. 16 No. 11, pp. 70-72."},{"key":"key2020123121213302800_b42","unstructured":"Yanzhang, Q.\n                and \n                  Liang, G.\n                (2011), \u201cStorage and querying of large scale web ontology in relational database\u201d, Microelectronics and Computer, Vol. 28 No. 12, pp. 137-140."},{"key":"key2020123121213302800_b44","unstructured":"Yewang, C.\n               , \n                  Haibo, L.\n                and \n                  Jinshan, Y.\n                (2012), \u201cA semantic retrieval model based on agricultural field ontology\u201d, Journal of Huaqiao University (Natural Science), Vol. 33 No. 1, pp. 27-32."},{"key":"key2020123121213302800_b43","unstructured":"Yewang, C.\n               , \n                  Wen, L.\n                and \n                  Xin, P.\n                (2009), \u201cImproved semantic annotation method for documents based on ontology\u201d, Journal of Southeast University, Vol. 39 No. 6, pp. 1109-1113."},{"key":"key2020123121213302800_b45","unstructured":"Yi, Y.\n                and \n                  Chuanjun, S.\n                (2011), \u201cResearch topic and development tendency analysis based on information lifecycle in China\u201d, Journal of Information 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