C. Zhou, H. Chen, and T. Yu, Learning a Probabilistic Semantic Model from Heterogeneous Social Networks for Relationship Identification, 2008 20th IEEE International Conference on Tools with Artificial Intelligence, pp.343-350, 2008.
DOI : 10.1109/ICTAI.2008.49

L. Ding, L. Zhou, T. Finin, and A. Joshi, How the Semantic Web is Being Used: An Analysis of FOAF Documents, Proceedings of the 38th Annual Hawaii International Conference on System Sciences, pp.113-113, 2005.
DOI : 10.1109/HICSS.2005.299

P. Mika, Flink: Semantic Web technology for the extraction and analysis of social networks, Web Semantics: Science, Services and Agents on the World Wide Web, vol.3, issue.2-3, pp.211-223, 2005.
DOI : 10.1016/j.websem.2005.05.006

J. Golbeck and M. Rothstein, Linking social networks on the web with FOAF: a semantic web case study, Proceedings of the 23rd national conference on Artificial intelligence, pp.1138-1143, 2008.

A. Hogan, The ExpertFinder corpus 2007 for the benchmarking and development of Expert-Finding systems, First International ExpertFinder Workshop, 2007.

S. Bortoli, H. Stoermer, P. Bouquet, and H. Wache, Foaf-o-matic solving the identity problem in the foaf network, Proceedings of the Fourth Italian Semantic Web Workshop (SWAP2007), 2007.

M. Rowe and F. Ciravegna, Disambiguating identity through social circles and social data, Collective Intelligence Workshop ESWC, 2008.

L. Shi, D. Berrueta, S. Fernndez, L. Polo, S. Fernndez et al., Smushing RDF instances: are alice and bob the same open source developer, ISWC2008 workshop on Personal Identification and Collaborations: Knowledge Mediation and Extraction, 2008.

P. Bouquet, H. Stoermer, and B. Bazzanella, An Entity Name System (ENS) for the Semantic Web, The Semantic Web: Research and Applications, pp.258-272, 2008.
DOI : 10.1007/978-3-540-68234-9_21

J. J. Jiang and D. W. Conrath, Semantic similarity based on corpus statistics and lexical taxonomy, International Conference Research on Computational Linguistics (ROCLING X), 1997.

A. Elsayed, H. Hacid, and D. Zighed, A Multisource Context-Dependent Semantic Distance Between Concepts, 18th International Conference on Database and Expert Systems Applications (DEXA 07), pp.54-63, 2007.
DOI : 10.1007/978-3-540-74469-6_6

W. Cohen, P. Ravikumar, and S. Fienberg, A comparison of string distance metrics for name-matching tasks, 2003.

M. Bilenko, R. Mooney, W. Cohen, P. Ravikumar, and S. Fienberg, Adaptive name matching in information integration, IEEE Intelligent Systems, vol.18, issue.5, pp.16-23, 2003.
DOI : 10.1109/MIS.2003.1234765

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.81, issue.406, pp.414-420, 1989.
DOI : 10.1080/01621459.1989.10478785

W. W. Cohen and E. Minkov, A graph-search framework for associating gene identifiers with documents, BMC Bioinformatics, vol.7, issue.1, p.440, 2006.
DOI : 10.1186/1471-2105-7-440

A. Bilke and F. Naumann, Schema Matching Using Duplicates, 21st International Conference on Data Engineering (ICDE'05), pp.69-80, 2005.
DOI : 10.1109/ICDE.2005.126
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.323

E. Gabrilovich and S. Markovitch, Computing semantic relatedness using wikipedia-based explicit semantic analysis, Proceedings of the 20th international joint conference on Artifical intelligence, pp.1606-1611, 2007.

V. I. Levenshtein, Binary codes capable of correcting deletions, insertions and reversals, Soviet Physics Doklady, vol.10, p.707, 1966.

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, issue.4, pp.1018-1031, 1997.
DOI : 10.1109/36.602544

R. R. Yager, Human behavioral modeling using fuzzy and DempsterShafer theory, Social Computing, Behavioral Modeling, and Prediction, pp.89-99, 2008.
DOI : 10.1007/978-0-387-77672-9_11

E. Raad, B. A. Bouna, and R. Chbeir, Bridging Sensing and Decision Making in Ambient Intelligence Environments, Multimedia Techniques for Device and Ambient Intelligence, pp.135-164, 2009.
DOI : 10.1007/978-0-387-88777-7_6
URL : https://hal.archives-ouvertes.fr/hal-00643557