{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:22:23Z","timestamp":1781104943817,"version":"3.54.1"},"reference-count":0,"publisher":"IGI Global Scientific Publishing","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,1,1]]},"abstract":"<p>Measuring graph similarity is a primary issue for graph-related applications. Many works have been proposed on simple topology-based structural similarity measuring for networks. It is not enough for semantic-rich networks like semantic networks, semantic link networks, and event-linked networks where semantic-based structural similarity measuring is more important than topology-based structure similarity measuring. In this paper, the authors introduce a semantic-based structural similarity for the first time and then propose an approach to measure the semantic-based structural similarity between networks with the computing theory for semantic relations as the foundation. A case study in semantic link network of the scientific research is also presented to show the feasibility of the proposed approach.<\/p>","DOI":"10.4018\/ijdwm.2016010102","type":"journal-article","created":{"date-parts":[[2016,1,12]],"date-time":"2016-01-12T09:09:52Z","timestamp":1452589792000},"page":"20-33","source":"Crossref","is-referenced-by-count":15,"title":["Measuring Semantic-Based Structural Similarity in Multi-Relational Networks"],"prefix":"10.4018","volume":"12","author":[{"given":"Yunchuan","family":"Sun","sequence":"first","affiliation":[{"name":"Beijing Normal University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rongfang","family":"Bie","sequence":"additional","affiliation":[{"name":"Beijing Normal University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junsheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"IT Support Center, Institute of Scientific and Technical Information of China, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","container-title":["International Journal of Data Warehousing and Mining"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=143713","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T13:51:20Z","timestamp":1654091480000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJDWM.2016010102"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2016,1,1]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,1]]}},"URL":"https:\/\/doi.org\/10.4018\/ijdwm.2016010102","relation":{},"ISSN":["1548-3924","1548-3932"],"issn-type":[{"value":"1548-3924","type":"print"},{"value":"1548-3932","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,1,1]]}}}