Enhanced Conference Organization Based On Correlation of Web Information and Ontology Based Expertise Search
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Enhanced Conference Organization Based On Correlation of Web Information and Ontology Based Expertise Search

Authors: Hassan Noureddine, Maria Sokhn, Iman Jarkass, Elena Mugellini, Omar Abou Khaled


From the importance of the conference and its constructive role in the studies discussion, there must be a strong organization that allows the exploitation of the discussions in opening new horizons. The vast amount of information scattered across the web, make it difficult to find experts, who can play a prominent role in organizing conferences. In this paper we proposed a new approach of extracting researchers- information from various Web resources and correlating them in order to confirm their correctness. As a validator of this approach, we propose a service that will be useful to set up a conference. Its main objective is to find appropriate experts, as well as the social events for a conference. For this application we us Semantic Web technologies like RDF and ontology to represent the confirmed information, which are linked to another ontology (skills ontology) that are used to present and compute the expertise.

Keywords: Expert finding, Information extraction, Ontologies, Semantic web, Social events.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079526

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[1] H. KAUNTZ and B. SELMAN. Referral web: Combining social networks and collaborative filtering. Communications of the ACM, 403, 63-65.
[2] J. ZHU and M. EISENSTADT. Buddyfinder-corder: Leveraging social networks for matchmaking by opportunistic discovery. ISWC2005, Galway Ireland.
[3] C. Delalonde and E. Soulier. Collaborative Information Retrieval in R&D distributed teams. 13th International Conference on Concurrent Engineering, Sophia-Antipolis.
[4] P. Mika. Flink: Semantic Web technology for the extraction and analysis of social networks. Journal of Web Semantics (2005).
[5] D. Brickley and L. Miller: FOAF Vocabulary Specification. FOAF Project, http://xmlns.com/foaf/0.1/. (2004).
[6] Remo Lemma. Ebon: Visualizing the DBLP Database (June 17, 2010).
[7] Glaser, H., Millard, I.C.: RKBPlatform: Opening up Services in the Web of Data. In: International Semantic Web Conference (2009)
[8] J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. ArnetMiner: Extraction and Mining of Academic Social Networks. Proc. of 14th Intl. Conf. on Knowledge Discovery and Data Mining (SIGKDD 2008). Henderson, Nevada, 2008, pp.990-998.
[9] Juanzi LI, Jie TANG, Jing ZHANG, Qiong LUO, Yunhao LIU, Mingcai HONG. Arnetminer: expertise oriented search using social networks. Frontiers of Computer Science in China, 2008: 94~105.
[10] The VIKEF Consortium, VIKEF Technology Catalogue (January 2007).
[11] C-Y. Lin, N. Cao, S. X. Liu, S. Papadimitriou, J. Sun and X. Yan. SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence. IEEE International Conference on Data Engineering.
[12] A. Kardan, A. Omidvar and F. Farahmandnia. Expert Finding on Social Network with Link Analysis Approach. 19th Iranian Conference on Electrical Engineering (ICEE), 2011 Page(s): 1- 5.
[13] J. Tang, J. Zhang, D. Zhang, L. Yao, C. Zhu and J. Li .ArnetMiner: An Expertise Oriented Search System for Web Community.
[14] J. Zhang, J. Tang, and J. Li. Expert Finding in a Social Network. In: DASFAA 2007. LNCS, vol. 4443, pp. 1066-1069. Springer, Heidelberg (2007).
[15] E. Smirnova. A Model for Expert Finding in Social Networks. Proceeding SIGIR '11 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval Pages 1191-1192 New York, NY, USA ┬®2011. C.
[16] Baldassarre, E. Daga, A. Gangemi, A. Gliozzo, A. Salvati, and Gianluca Troiani. Semantic Scout: Making Sense of Organizational Knowledge. EKAW2010.
[17] E. A. Jansen. A Semantic Web based approach to expertise finding at KPMG.(2010)
[18] C. C. Chou, K. H. Yang, and H. M. Lee. AEFS: Authoritative Expert Finding System Based on a Language Model and Social Network Analysis.(2007)
[19] K. H. Yang, C. Y. Chen, H. M. Lee, and J.M. Ho. EFS: Expert Finding System based on Wikipedia Link Pattern Analysis. 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC 2008).
[20] R. Punnarut and G. Sriharee. A Researcher Expertise Search System using Ontology-Based Data Mining. Seventh Asia-Pacific Conference on Conceptual Modelling (APCCM 2010), Brisbane, Australia, January 2010.