بهره برداری از بازخورد ارتباط در جستجوی نمودار دانش

[1] B. R. Herganna, an introduction to learning theories, translated by Ali Akbar Seif, Ch IV, Tehran, Doran, p.423 و،1397( in persian).

[2] B. R. Herganeh, previous, p. 433,1397(in persian).

[3] Rita. L. Atkinson, The field of psychology, translated by Mehdi Ganji, Ch. 10, p. 421,2013(in persian).

[4] Christian Bizer, Tom Heath, and Tim Berners-Lee. Linked Data – The Story So Far. International journal on semantic web and information systems, 5(3):1–22, 2009.

[5] Douglas B Lenat. CYC: A large-scale investment in knowledge infrastructure. Communications of the ACM, 38(11):33– 38, 1995.

[6] Samuel Sarjant, Catherine Legg, Michael Robinson, and Olena Medelyan. “All you can eat” ontology-building:Feeding Wikipedia to Cyc. In Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology-Volume 01, pages 341–348, Piscataway, NJ, 2009. IEEE Computer Society.

[7] Denny Vrandeˇci´c and Markus Krötzsch. Wikidata: a Free Collaborative Knowledge Base. Communications of the ACM, 57(10):78–85, 2014.

[8] Jens Lehmann, Robert Isele,Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N. Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick van Kleef, Sören Auer, and Christian Bizer. DBpedia – A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia. Semantic Web Journal, 6(2), 2013.

[9] George A Miller. WordNet: a lexical database for English.Communications of the ACM, 38(11):39–41, 1995. http: //dx.doi.org/10.1145/219717.219748.

[10] Farzaneh Mahdisoltani, Joanna Biega, and Fabian M.Suchanek. YAGO3: A Knowledge Base from Multilingual Wikipedias. In Conference on Innovative Data Systems Research,2015. http://www.cidrdb.org/cidr2015/ Papers/CIDR15_Paper1.pdf.

[11] Andrew Carlson, Justin Betteridge, Richard C Wang, Estevam R Hruschka Jr, and Tom M Mitchell. Coupled semisupervised learning for information extraction. In Proceedings of the third ACM international conference on Web search and data mining, pages 101–110, New York, 2010.

[12] L.Terveen and D.W.McDonald.Social matching: A framework and research agenda. ACM Trans. Comput-Hum. Interact., 12(3),2005.

[13] W.Eberle and L. Holder. Applying graph-based approaches to insider threat detection. In Proc.of the 5th Annual Workshop on Cyber Security and Information Intelligence Research , pages 206-208,2009.

[14] B. Zong , R. Raghhavendra, M. Srivatsa, X. Yan, A. K. Singh, and KW Lee. Cloud service placement via subgraph matching . In ICDE,2014.

[15] L. Del Corro, R. Gemulla, “ClausIE: clause-based open information extraction”, In Proceedings of the 22nd international conference on World Wide Web, pp. 355-366, International World Wide Web Conferences Steering Committee, 2013.

[16] O. Etzioni, A. Fader, J. Christensen, S. Soderland, M. Mausam, “Open information extraction: The second generation”, In Proceedings of the TwentySecond international joint conference on Artificial Intelligence-Volume Volume One, pp. 3-10, AAAI Press, 2011.

[17] Heiko Paulheim: Knowledge Graph Refinement:A Survey of Approaches and Evaluation   Methods, Published 2017 in Semantic Web DOI:10.3233/SW-160218.