{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T18:44:29Z","timestamp":1771008269839,"version":"3.50.1"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2019,3,5]],"date-time":"2019-03-05T00:00:00Z","timestamp":1551744000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61602013"],"award-info":[{"award-number":["61602013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Fundamental Research Project","award":["JCYJ20170818091546869"],"award-info":[{"award-number":["JCYJ20170818091546869"]}]},{"name":"Shenzhen Fundamental Research Project","award":["JCYJ20160330095313861"],"award-info":[{"award-number":["JCYJ20160330095313861"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1007\/s10916-019-1182-z","type":"journal-article","created":{"date-parts":[[2019,3,4]],"date-time":"2019-03-04T21:00:19Z","timestamp":1551733219000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation"],"prefix":"10.1007","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3220-904X","authenticated-orcid":false,"given":"Ying","family":"Shen","sequence":"first","affiliation":[]},{"given":"Kaiqi","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Jingchao","family":"Dai","sequence":"additional","affiliation":[]},{"given":"Buzhou","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Min","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Kai","family":"Lei","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,5]]},"reference":[{"key":"1182_CR1","doi-asserted-by":"crossref","unstructured":"Hliaoutakis, A., Varelas, G., Petrakis, E. G. M., Milios, E., MedSearch: A Retrieval System for Medical Information Based on Semantic Similarity. In Proceeding of the International Conference on Theory and Practice of Digital Libraries. Springer, Berlin, 512\u2013515, 2006.","DOI":"10.1007\/11863878_56"},{"issue":"3","key":"1182_CR2","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1016\/j.jbi.2006.06.004","volume":"40","author":"T Pedersen","year":"2007","unstructured":"Pedersen, T., Pakhomov, S. V., Patwardhan, S., and Chute, C. G., Measures of semantic similarity and relatedness in the biomedical domain. J. Biomed. Inform. 40(3):288\u2013299, 2007.","journal-title":"J. Biomed. Inform."},{"key":"1182_CR3","unstructured":"Nguyen, H. A., Al-Mubaid, H., New ontology-based semantic similarity measure for the biomedical domain. In: Proceeding of the 2006 IEEE International Conference on Granular Computing. IEEE, 623\u2013628, 2006."},{"issue":"1","key":"1182_CR4","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1016\/j.jbi.2010.09.002","volume":"44","author":"M Batet","year":"2011","unstructured":"Batet, M., S\u00e1nchez, D., and Valls, A., An ontology-based measure to compute semantic similarity in biomedicine. J. Biomed. Inform. 44(1):118\u2013125, 2011.","journal-title":"J. Biomed. Inform."},{"issue":"4","key":"1182_CR5","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1109\/TKDE.2003.1209005","volume":"15","author":"Y Li","year":"2003","unstructured":"Li, Y., Bandar, Z., and McLean, D., An approach for measuring semantic similarity between words using multiple information sources. IEEE Trans. Knowl. Data Eng. 15(4):871\u2013882, 2003.","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"1182_CR6","unstructured":"Resnik, P., Using information content to evaluate semantic similarity in a taxonomy. In Proceeding of IJCAI. 448\u2013453, 2005."},{"key":"1182_CR7","doi-asserted-by":"crossref","unstructured":"Al-Mubaid, H., Nguyen, H. A., A cluster-based approach for semantic similarity in the biomedical domain. In Proceeding of the 28th Annual International Conference of the IEEE EMBS'06. IEEE, 2713\u20132717, 2006.","DOI":"10.1109\/IEMBS.2006.259235"},{"key":"1182_CR8","doi-asserted-by":"crossref","unstructured":"Traverso, I., Vidal, M. E., K\u00e4mpgen, B., Sure-Vetter, Y., GADES: A Graph-based Semantic Similarity Measure. In Proceeding of the 12th International Conference on Semantic Systems. ACM, 101\u2013104, 2016.","DOI":"10.1145\/2993318.2993343"},{"key":"1182_CR9","doi-asserted-by":"crossref","unstructured":"Shiralkar, P., Flammini, A., Menczer, F., Ciampaglia, G. L., Finding streams in knowledge graphs to support fact checking. In Proceeding of the 2017 IEEE International Conference on Data Mining (ICDM 2017). IEEE, 859\u2013864, 2017.","DOI":"10.1109\/ICDM.2017.105"},{"key":"1182_CR10","doi-asserted-by":"crossref","unstructured":"Jovic, A., Prcela, M., Gamberger, D., Ontologies in medical knowledge representation. In Proceeding of the 29th International Conference on Information Technology Interfaces (ITI 2007). IEEE, 535\u2013540, 2007.","DOI":"10.1109\/ITI.2007.4283828"},{"key":"1182_CR11","doi-asserted-by":"crossref","unstructured":"Ge, T., Wang, Y., De Melo, G., Li, H., Chen, B., Visualizing and curating knowledge graphs over time and space. In Proceeding of ACL-2016 System Demonstrations (ACL-2016). 25\u201330, 2016.","DOI":"10.18653\/v1\/P16-4005"},{"issue":"7","key":"1182_CR12","first-page":"1036","volume":"16","author":"L Monika","year":"2010","unstructured":"Monika, L., Sampson, J., and Rester, M., Ontology Visualization: Tools and Techniques for Visual Representation of Semi-Structured Meta-Data. J. Univ. Comput. Sci. 16(7):1036\u20131054, 2010.","journal-title":"J. Univ. Comput. Sci."},{"issue":"4","key":"1182_CR13","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1287620.1287621","volume":"39","author":"A Katifori","year":"2007","unstructured":"Katifori, A., Halatsis, C., Lepouras, G., Vassilakis, C., and Giannopoulou, E., Ontology visualization methods-a survey. ACM Computing Surveys (CSUR) 39(4):10, 2007.","journal-title":"ACM Computing Surveys (CSUR)"},{"issue":"5","key":"1182_CR14","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1109\/TVCG.2006.120","volume":"12","author":"J Abello","year":"2006","unstructured":"Abello, J., Van Ham, F., and Krishnan, N., Ask-graphview: A large scale graph visualization system. IEEE Trans. Vis. Comput. Graph. 12(5):669\u2013676, 2006.","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"1182_CR15","doi-asserted-by":"crossref","unstructured":"Auber, D., Tulip-a huge graph visualization framework. Graph Drawing Software:105\u2013126, 2004.","DOI":"10.1007\/978-3-642-18638-7_5"},{"key":"1182_CR16","doi-asserted-by":"crossref","unstructured":"Fu, B., Noy, N. F., Storey, M.A., Indented tree or graph? A usability study of ontology visualization techniques in the context of class mapping evaluation. In Proceeding of the International Semantic Web Conference: 117\u2013134, 2013.","DOI":"10.1007\/978-3-642-41335-3_8"},{"key":"1182_CR17","unstructured":"Zhang, P., Wang, F., Hu, J., Sorrentino, R., Towards personalized medicine: Leveraging patient similarity and drug similarity analytics. In Proceeding of the AMIA Summits on Translational Science Proceedings: 132, 2014."},{"issue":"3","key":"1182_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0058321","volume":"8","author":"S Vilar","year":"2013","unstructured":"Vilar, S., Uriarte, E., Santana, L., Tatonetti, N. P., and Friedman, C., Detection of drug-drug interactions by modeling interaction profile fingerprints. PLoS One 8(3):1\u201311, 2013.","journal-title":"PLoS One"},{"key":"1182_CR19","doi-asserted-by":"crossref","unstructured":"Zhang, P., Agarwal, P., and Obradovic, Z., Computational drug repositioning by ranking and integrating multiple data sources. Machine Learning and Knowledge Discovery in Databases:579\u2013594, 2013.","DOI":"10.1007\/978-3-642-40994-3_37"},{"issue":"2","key":"1182_CR20","doi-asserted-by":"publisher","first-page":"9898","DOI":"10.1007\/s10916-012-9898-z","volume":"37","author":"MM Baig","year":"2013","unstructured":"Baig, M. M., and Gholamhosseini, H., Smart health monitoring systems: an overview of design and modeling. J. Med. Syst. 37(2):9898, 2013.","journal-title":"J. Med. Syst."},{"key":"1182_CR21","doi-asserted-by":"crossref","unstructured":"Luo, H., Zhang, P., Huang, H., Huang, J., Kao, E., Shi, L., He, L., and Yang, L., Ddi-cpi, a server that predicts drug-drug interactions through implementing the chemical-protein interactome. Nucleic Acids Res. 42:W46\u2013W52.","DOI":"10.1093\/nar\/gku433"},{"key":"1182_CR22","doi-asserted-by":"publisher","first-page":"12339","DOI":"10.1038\/srep12339","volume":"5","author":"P Zhang","year":"2015","unstructured":"Zhang, P., Wang, F., Hu, J., and Sorrentino, R., Label propagation prediction of drug-drug interactions based on clinical side effects. Sci. Rep. 5:12339, 2015.","journal-title":"Sci. Rep."},{"key":"1182_CR23","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.websem.2017.06.002","volume":"44","author":"I Abdelaziz","year":"2017","unstructured":"Abdelaziz, I., Fokoue, A., Hassanzadeh, O., Zhang, P., and Sadoghi, M., Large-scale structural and textual similarity-based mining of knowledge graph to predict drug\u2013drug interactions. Web Semant. Sci. Serv. Agents World Wide Web 44:104\u2013117, 2017.","journal-title":"Web Semant. Sci. Serv. Agents World Wide Web"},{"issue":"5","key":"1182_CR24","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1109\/TVCG.2006.147","volume":"12","author":"D Holten","year":"2006","unstructured":"Holten, D., Hierarchical edge bundles: Visualization of adjacency relations in hierarchical data. IEEE Trans. Vis. Comput. Graph. 12(5):741\u2013748, 2006.","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"1182_CR25","unstructured":"Tang, J., Qu, M., Wang, M., Zhang, M., Yan, J., Mei, Q., Line: Large-scale information network embedding. In Proceedings of the 24th International Conference on WWW. International World Wide Web Conferences Steering Committee: 1067\u20131077."},{"issue":"4","key":"1182_CR26","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1561\/1500000019","volume":"3","author":"S Robertson","year":"2009","unstructured":"Robertson, S., and Zaragoza, H., The probabilistic relevance framework: BM25 and beyond. Foundations and Trends in Information Retrieval 3(4):333\u2013389, 2009.","journal-title":"Foundations and Trends in Information Retrieval"},{"issue":"1","key":"1182_CR27","first-page":"10","volume":"27","author":"IW Ho","year":"2015","unstructured":"Ho, I. W., Lee, C. T., Chen, P. W., and Lo, Y. C., Impact of cumulative antibiograms sub-categorized by origins of infection acquisition on the selection of empirical antimicrobial Therapy. Journal of Biomedical & Laboratory Sciences 27(1):10\u201318, 2015.","journal-title":"Journal of Biomedical & Laboratory Sciences"},{"issue":"1","key":"1182_CR28","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1109\/TKDE.2016.2610428","volume":"29","author":"G Zhu","year":"2017","unstructured":"Zhu, G., and Iglesias, C., Computing Semantic Similarity of Concepts in Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 29(1):72\u201385, 2017.","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"3","key":"1182_CR29","doi-asserted-by":"publisher","first-page":"55","DOI":"10.4018\/jswis.2006070104","volume":"2","author":"A Hliaoutakis","year":"2006","unstructured":"Hliaoutakis, A., Varelas, G., Voutsakis, E., Petrakis, E. G., and Milios, E., Information retrieval by semantic similarity. International Journal on Semantic Web and Information Systems (IJSWIS) 2(3):55\u201373, 2006.","journal-title":"International Journal on Semantic Web and Information Systems (IJSWIS)"},{"key":"1182_CR30","doi-asserted-by":"crossref","unstructured":"Lei, K., Yuan, K., Zhang, Q., Shen, Y., MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs. In International Conference on Knowledge Science, Engineering and Management. Springer, Cham 479\u2013490, 2018.","DOI":"10.1007\/978-3-319-99365-2_43"},{"issue":"9","key":"1182_CR31","doi-asserted-by":"publisher","first-page":"2147","DOI":"10.1038\/nprot.2014.151","volume":"9","author":"S Vilar","year":"2014","unstructured":"Vilar, S., Uriarte, E., Santana, L., Lorberbaum, T., Hripcsak, G., Friedman, C., and Tatonetti, N. P., Similarity-based modeling in large-scale prediction of drug-drug interactions. Nat. Protoc. 9(9):2147\u20132163, 2014.","journal-title":"Nat. Protoc."},{"key":"1182_CR32","unstructured":"Sintek, M. (2003) Ontoviz tab: Visualizing prot\u00e9g\u00e9 ontologies."},{"key":"1182_CR33","unstructured":"Ho, P. L., Wong, S.S.Y. Reducing bacterial resistance with IMPACT-Interhospital Multi-disciplinary Programme on Antimicrobial ChemoTherapy. Centre for Health Protection, 2012."}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-019-1182-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-019-1182-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-019-1182-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,3]],"date-time":"2020-03-03T19:08:18Z","timestamp":1583262498000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-019-1182-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,5]]},"references-count":33,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,4]]}},"alternative-id":["1182"],"URL":"https:\/\/doi.org\/10.1007\/s10916-019-1182-z","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"value":"0148-5598","type":"print"},{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,5]]},"assertion":[{"value":"30 October 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 January 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 March 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"92"}}