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H\u00fclsen, J.M. Z\u00f6llner, and C. Weiss, \u201cTraffic intersection situation description ontology for advanced driver assistance,\u201d 2011 IEEE Intelligent Vehicles Symposium (IV), pp.993-999, June 2011. 10.1109\/ivs.2011.5940415","DOI":"10.1109\/IVS.2011.5940415"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] A.J. Bermejo, J.E. Villadangos, J.J. Astrain, A. C\u00f3rdoba, L. Azpilicueta, U. Garate, and F. Falcone, \u201cOntology Based Road Traffic Management,\u201d IDC, pp.103-108, Aug. 2012.","DOI":"10.1007\/978-3-642-32524-3_14"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] A. Herzog, D. Jacobi, and A. 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Jelschen, \u201cSENSEI: Software evolution service integration,\u201d 2014 Software Evolution Week-IEEE Conference on Software Maintenance, Reengineering and Reverse Engineering (CSMR-WCRE), pp.469-472, 2014. 10.1109\/csmr-wcre.2014.6747220","DOI":"10.1109\/CSMR-WCRE.2014.6747220"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] G. Zhang, C. Li, Y. Zhang, C. Xing, and J. Yang, \u201cSeanMedical: A kind of semantic medical monitoring system model based on the IoT sensors,\u201d 2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom), pp.238-243, 2012. 10.1109\/healthcom.2012.6379414","DOI":"10.1109\/HealthCom.2012.6379414"},{"key":"12","unstructured":"[12] Resource Description Framework (RDF): Concepts and Abstract Syntax. W3.org."},{"key":"13","unstructured":"[13] Accessing Relational Databases as Virtual RDF Graphs. http:\/\/d2rq.org\/. 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