User profile matching in social networks

Proceedings - 13th International Conference on Network-Based Information Systems, NBiS 2010

Volumn , Issue , 2010, Pages 297-304

  Raad, Elie ^a   Chbeir, Richard ^a   Dipanda, Albert ^a  

^a UNIVERSITÉ DE BOURGOGNE   (France)

Author keywords

FOAF; Profile matching; Social networks

Indexed keywords

DATA INTEGRATION; E-MAIL ADDRESS; FOAF; FULLY COMPATIBLE; FUNCTIONAL PROPERTIES; GLOBALITY; HOMEPAGE; PERSONAL USE; PROFILE MATCHING; SIMILARITY MEASURE; SOCIAL NETWORKS; USER PROFILE;

ELECTRONIC MAIL; INFORMATION RETRIEVAL; INFORMATION SYSTEMS;

SOCIAL NETWORKING (ONLINE);

EID: 78650483858     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NBiS.2010.35     Document Type: Conference Paper

References (21)

1. C. Zhou, H. Chen, and T. Yu, "Learning a probabilistic semantic model from heterogeneous social networks for relationship identification," in Tools with Artificial Intelligence, IEEE International Conference on, vol. 1. Los Alamitos, CA, USA: IEEE Computer Society, 2008, pp. 343-350.
2. L. Ding, L. Zhou, T. Finin, and A. Joshi, "How the semantic web is being used: An analysis of FOAF documents," in Proceedings of the 38th Annual Hawaii International Conference on System Sciences, Big Island, HI, USA, 2005, pp. 113c-113c.
3. P. Mika, "Flink: Semantic web technology for the extraction and analysis of social networks," JOURNAL OF WEB SEMANTICS, vol. 3, pp. 211-223, 2005.
4. J. Golbeck and M. Rothstein, "Linking social networks on the web with FOAF: a semantic web case study," in Proceedings of the 23rd national conference on Artificial intelligence - Volume 2. Chicago, Illinois: AAAI Press, 2008, pp. 1138-1143.
5. A. Hogan, "The ExpertFinder corpus 2007 for the benchmarking and development of Expert-Finding systems," in First International ExpertFinder Workshop, 2007.
6. S. Bortoli, H. Stoermer, P. Bouquet, and H. Wache, "Foaf-o-matic - solving the identity problem in the foaf network," in In Proceedings of the Fourth Italian Semantic Web Workshop (SWAP2007), 2007.
7. M. Rowe and F. Ciravegna, "Disambiguating identity through social circles and social data," in Collective Intelligence Workshop ESWC 2008, Tenerife, Spain, 2008.
8. L. Shi, D. Berrueta, S. Fernndez, L. Polo, S. Fernndez, and A. Asturias, "Smushing RDF instances: are alice and bob the same open source developer?" in ISWC2008 workshop on Personal Identification and Collaborations: Knowledge Mediation and Extraction (PICKME 2008), 2009.
9. P. Bouquet, H. Stoermer, and B. Bazzanella, "An entity name system (ENS) for the semantic web," in The Semantic Web: Research and Applications, 2008, pp. 258-272.
10. J. J. Jiang and D. W. Conrath, "Semantic similarity based on corpus statistics and lexical taxonomy," International Conference Research on Computational Linguistics (ROCLING X), Sep. 1997.
11. A. ElSayed, H. Hacid, and D.-A. Zighed, "A multisource contextdependent semantic distance between concepts," in 18th International Conference on Database and Expert Systems Applications (DEXA 07), Regensburg, Germany, ser. Lecture Notes in Computer Science, R. Wagner, N. Revell, and G. Pernul, Eds., vol. 4653. Springer, September 2007, pp. 54-63.
12. W. Cohen, P. Ravikumar, and S. Fienberg, "A comparison of string distance metrics for name-matching tasks," 2003.
13. M. Bilenko, R. Mooney, W. Cohen, P. Ravikumar, and S. Fienberg, "Adaptive name matching in information integration," IEEE Intelligent Systems, vol. 18, no. 5, pp. 16-23, 2003.
14. M. A. Jaro, "Advances in record-linkage methodology as applied to matching the 1985 census of tampa, florida," Journal of the American Statistical Association, vol. 84, no. 406, pp. 414-420, Jun. 1989.
15. W. W. Cohen and E. Minkov, "A graph-search framework for associating gene identifiers with documents," BMC Bioinformatics, vol. 7, p. 440, 2006.
16. A. Bilke and F. Naumann, "Schema matching using duplicates," in 21st International Conference on Data Engineering (ICDE'05), Tokyo, Japan, 2005, pp. 69-80.
17. E. Gabrilovich and S. Markovitch, "Computing semantic relatedness using wikipedia-based explicit semantic analysis," in Proceedings of the 20th international joint conference on Artifical intelligence. Hyderabad, India: Morgan Kaufmann Publishers Inc., 2007, pp. 1606-1611.
18. V. I. Levenshtein, "Binary codes capable of correcting deletions, insertions and reversals," Soviet Physics Doklady, vol. 10, p. 707, Feb. 1966.
19. S. L. Hegarat-Mascle, I. Bloch, and D. Vidal-Madjar, "Application of dempster-shafer evidence theory to unsupervised classification in multisource remote sensing," IEEE Transactions on Geoscience and Remote Sensing, vol. 35, pp. 1018-1031, 1997.
20. R. R. Yager, "Human behavioral modeling using fuzzy and DempsterShafer theory," in Social Computing, Behavioral Modeling, and Prediction, 2008, pp. 89-99.
21. E. Raad, B. A. Bouna, and R. Chbeir, "Bridging sensing and decision making in ambient intelligence environments," in Multimedia Techniques for Device and Ambient Intelligence, 2009, pp. 135-164.