Abstract
Instance matching targets the extraction, integration and matching of instances referring to the same real-world entity. In this paper we present a weighted ontology-based user profile resolution technique which targets the discovery of multiple online profiles that refer to the same person identity. The elaborate technique takes into account profile similarities at both the syntactic and semantic levels, employing text analytics on top of open data knowledge to improve its performance. A two-staged evaluation of the technique performs various experiments to determine the best out of alternative approaches. These results are then considered in an improved algorithm, which is evaluated by real users, based on their real social network data. Here, a profile matching precision rate of 0.816 is obtained. The presented Social Semantic Web technique has a number of useful applications, such as detection of untrusted known persons behind anonymous profiles, and information sharing management across multiple social networks.
Keywords
This work is supported by the European Commission under the Seventh Framework Program FP7/2007-2013 (digital.me – ICT-257787)
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References
Araújo, S., Hidders, J., Schwabe, D., de Vries, A.P.: Serimi - resource description similarity, rdf instance matching and interlinking. CoRR, abs/1107.1104 (2011)
Bartunov, S., Korshunov, A., Park, S.-T., Ryu, W., Lee, H.: Joint link-attribute user identity resolution in online social networks. In: SNA-KDD 2012 at KDD 2012, Beijing, China (2012)
Bilenko, M., Mooney, R., Cohen, W., Ravikumar, P., Fienberg, S.: Adaptive name matching in information integration. IEEE Intelligent Systems 18(5), 16–23 (2003)
Bourimi, M., Scerri, S., Cortis, K., Rivera, I., Heupel, M., Thiel, S.: Integrating multi-source user data to enhance privacy in social interaction. In: INTERACCION 2012, pp. 51:1–51:7 (2012)
Castano, S., Ferrara, A., Montanelli, S., Varese, G.: Ontology and instance matching. In: Paliouras, G., Spyropoulos, C.D., Tsatsaronis, G. (eds.) Multimedia Information Extraction. LNCS, vol. 6050, pp. 167–195. Springer, Heidelberg (2011)
Cortis, K., Scerri, S., Rivera, I., Handschuh, S.: Discovering semantic equivalence of people behind online profiles. In: RED 2012 at ESWC 2012, Heraklion, Greece, pp. 104–118 (2012)
Cortis, K., Scerri, S., Rivera, I., Handschuh, S.: Techniques for the identification of semantically-equivalent online identities. In: Lacroix, Z., Ruckhaus, E., Vidal, M.-E. (eds.) RED 2012. LNCS, vol. 8194, pp. 1–22. Springer, Heidelberg (2013)
Cross, V.: Fuzzy semantic distance measures between ontological concepts. In: NAFIPS 2004, vol. 2, pp. 635–640 (June 2004)
Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V.: GATE: A Framework and Graphical Development Environment for Robust NLP Tools and Applications. In: ACL 2002 (2002)
Dorneles, C.F., Gonçalves, R., dos Santos Mello, R.: Approximate data instance matching: a survey. Knowl. Inf. Syst. 27(1), 1–21 (2011)
Ferrara, A., Lorusso, D., Montanelli, S., Varese, G.: Towards a benchmark for instance matching. In: OM. CEUR Workshop Proceedings, vol. 431. CEUR-WS.org (2008)
Monge, A., Elkan, C.: The field matching problem: Algorithms and applications. In: KDD 1996, pp. 267–270 (1996)
Raad, E., Chbeir, R., Dipanda, A.: User profile matching in social networks. In: NBiS, Takayama, Gifu, Japan, 2010, pp. 297–304. IEEE Computer Society (2010)
Shen, W., Wang, J., Luo, P., Wang, M.: Linden: linking named entities with knowledge base via semantic knowledge. In: WWW 2012, pp. 449–458. ACM, New York (2012)
Veldman, I.: Matching profiles from social network sites: Similarity calculations with social network support. In: Master Thesis, University of Twente (2009)
Vosecky, D., Hong, J., Shen, V.Y.: User identification across multiple social networks. In: Proc. of the Int. Conference on Networked Digital Technologies (NDT 2009), pp. 360–365 (2009)
You, G., Park, J., Hwang, S., Nie, Z., Wen, J.: Socialsearch+: enriching social network with web evidences. World Wide Web (May 2012)
Zhou, W., Wang, H., Chao, J., Zhang, W., Yu, Y.: LODDO: Using linked open data description overlap to measure semantic relatedness between named entities. In: Pan, J.Z., Chen, H., Kim, H.-G., Li, J., Wu, Z., Horrocks, I., Mizoguchi, R., Wu, Z. (eds.) JIST 2011. LNCS, vol. 7185, pp. 268–283. Springer, Heidelberg (2012)
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Cortis, K., Scerri, S., Rivera, I., Handschuh, S. (2013). An Ontology-Based Technique for Online Profile Resolution. In: Jatowt, A., et al. Social Informatics. SocInfo 2013. Lecture Notes in Computer Science, vol 8238. Springer, Cham. https://doi.org/10.1007/978-3-319-03260-3_25
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DOI: https://doi.org/10.1007/978-3-319-03260-3_25
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