M. Ageev, D. Lagun, and E. Agichtein, Improving search result summaries by using searcher behavior data, Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, SIGIR '13, pp.13-22, 2013.
DOI : 10.1145/2484028.2484093

O. Alonso, C. Marshall, and M. Najork, Crowdsourcing a subjective labeling task: A human-centered framework to ensure reliable results, 2014.

F. Amato, F. Gargiulo, A. Mazzeo, V. Moscato, and A. Picariello, An rdfbased semantic index, Natural Language Processing and Information Systems, pp.315-320, 2013.

C. A. Andersson and R. Bro, The N-way Toolbox for MATLAB, Chemometrics and Intelligent Laboratory Systems, vol.52, issue.1, pp.1-4, 2000.
DOI : 10.1016/S0169-7439(00)00071-X

K. Anyanwu, A. Maduko, and A. Sheth, SemRank, Proceedings of the 14th international conference on World Wide Web , WWW '05, pp.117-127, 2005.
DOI : 10.1145/1060745.1060766

X. Bai, R. Delbru, and G. Tummarello, RDF Snippets for Semantic Web Search Engines, On the Move to Meaningful Internet Systems: OTM 2008, pp.1304-1318, 2008.
DOI : 10.3115/1610163.1610181

M. Baziz, M. Boughanem, and N. Aussenac-gilles, Conceptual Indexing Based on Document Content Representation, Context: nature, impact, and role, pp.171-186, 2005.
DOI : 10.1007/11495222_14

M. Baziz, M. Boughanem, and S. Traboulsi, A concept-based approach for indexing documents in ir, INFORSID, volume 2005, pp.489-504, 2005.

T. Berners-lee, Linked data-design issues, 2006.

T. Berners-lee, J. Hendler, and O. Lassila, The Semantic Web, Scientific American, vol.284, issue.5, pp.28-37, 2001.
DOI : 10.1038/scientificamerican0501-34

M. W. Berry, Large-Scale Sparse Singular Value Computations, The International Journal of Supercomputing Applications, vol.61, issue.1, pp.13-49, 1992.
DOI : 10.1016/0024-3795(84)90025-9

C. Bizer, S. Auer, G. Kobilarov, J. Lehmann, C. et al., Dbpediaquerying wikipedia like a database, Developers track presentation at the 16th international conference on World Wide Web, WWW16, pp.8-12, 2007.

C. Bizer, K. Eckert, R. Meusel, H. Mühleisen, M. Schuhmacher et al., Deployment of RDFa, Microdata, and Microformats on the Web ??? A Quantitative Analysis, The Semantic Web?ISWC 2013, pp.17-32, 2013.
DOI : 10.1007/978-3-642-41338-4_2

R. Blanco, B. B. Cambazoglu, P. Mika, and N. Torzec, Entity Recommendations in Web Search, The Semantic Web?ISWC 2013, pp.33-48, 2013.
DOI : 10.1007/978-3-642-41338-4_3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.432.7899

D. S. Broomhead and D. Lowe, Radial basis functions, multi-variable functional interpolation and adaptive networks, 1988.

A. S. Butt, A. Haller, and L. Xie, A Taxonomy of Semantic Web Data Retrieval Techniques, Proceedings of the Knowledge Capture Conference on ZZZ, K-CAP 2015, p.9, 2015.
DOI : 10.1007/s00778-012-0284-8

J. Callan, J. Allan, C. L. Clarke, S. Dumais, D. A. Evans et al., Meeting of the MINDS, ACM SIGIR Forum, vol.41, issue.2, pp.4125-4159, 2007.
DOI : 10.1145/1328964.1328967

S. Campinas, R. Delbru, and G. Tummarello, Effective Retrieval Model for Entity with Multi-valued Attributes: BM25MF and Beyond, Knowledge Engineering and Knowledge Management, pp.200-215, 2012.
DOI : 10.1007/978-3-642-33876-2_19

A. Carvalho and K. Larson, A consensual linear opinion pool, Proceedings of the Twenty-Third international joint conference on Artificial Intelligence, pp.2518-2524, 2013.

N. V. Chawla, K. W. Bowyer, L. O. Hall, and W. P. Kegelmeyer, Smote: synthetic minority over-sampling technique, Journal of artificial intelligence research, pp.321-357, 2002.

J. Daiber, M. Jakob, C. Hokamp, and P. N. Mendes, Improving efficiency and accuracy in multilingual entity extraction, Proceedings of the 9th International Conference on Semantic Systems, I-SEMANTICS '13, 2013.
DOI : 10.1145/2506182.2506198

L. Dali, B. Fortuna, T. T. Duc, and D. Mladeni´cmladeni´c, Query-Independent Learning to Rank for RDF Entity Search, The Semantic Web: Research and Applications, pp.484-498, 2012.
DOI : 10.1007/978-3-642-30284-8_39

D. Damljanovic, M. Stankovic, and P. Laublet, Linked data-based concept recommendation: Comparison of different methods in open innovation scenario. The Semantic Web: Research and Applications, pp.24-38, 2012.

R. Delbru, N. Toupikov, M. Catasta, G. Tummarello, and S. Decker, Hierarchical Link Analysis for Ranking Web Data, The Semantic Web: Research and Applications, pp.225-239, 2010.
DOI : 10.1007/978-3-642-13489-0_16

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.2266

L. Ding, T. Finin, A. Joshi, R. Pan, R. S. Cost et al., Swoogle, Proceedings of the Thirteenth ACM conference on Information and knowledge management , CIKM '04, 2004.
DOI : 10.1145/1031171.1031289

S. Dumais, E. Cutrell, C. , and H. , Optimizing search by showing results in context, Proceedings of the SIGCHI conference on Human factors in computing systems , CHI '01, pp.277-284, 2001.
DOI : 10.1145/365024.365116

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.111.3316

P. Fafalios and Y. Tzitzikas, Post-analysis of Keyword-Based Search Results Using Entity Mining, Linked Data, and Link Analysis at Query Time, 2014 IEEE International Conference on Semantic Computing, pp.36-43, 2014.
DOI : 10.1109/ICSC.2014.11

C. Fellbaum, WordNet(s), Encyclopedia of Language & Linguistics, pp.665-670, 2006.
DOI : 10.1016/B0-08-044854-2/00946-9

T. Franz, A. Schultz, S. Sizov, and S. Staab, TripleRank: Ranking Semantic Web Data by Tensor Decomposition, The Semantic Web-ISWC 2009, pp.213-228, 2009.
DOI : 10.1007/978-3-642-04930-9_14

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.170.4435

S. Gauch, J. Chaffee, and A. Pretschner, Ontology-based personalized search and browsing, Web Intelligence and Agent Systems, vol.1, pp.3-4219, 2003.

W. Ge, G. Cheng, H. Li, and Y. Qu, Incorporating compactness to generate term-association view snippets for ontology search, Information Processing & Management, pp.513-528, 2012.
DOI : 10.1016/j.ipm.2012.07.011

K. Haas, P. Mika, P. Tarjan, and R. Blanco, Enhanced results for web search, Proceedings of the 34th international ACM SIGIR conference on Research and development in Information, SIGIR '11, p.725, 2011.
DOI : 10.1145/2009916.2010014

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.348.5821

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann et al., The WEKA data mining software, ACM SIGKDD Explorations Newsletter, vol.11, issue.1, pp.10-18, 2009.
DOI : 10.1145/1656274.1656278

M. Hearst, User interfaces for search. Citeseer, pp.21-55, 2011.

T. Heath and C. Bizer, Linked data: Evolving the web into a global data space. Synthesis lectures on the semantic web: theory and technology, pp.1-136, 2011.
DOI : 10.2200/s00334ed1v01y201102wbe001

M. Hildebrand, J. V. Ossenbruggen, and L. Hardman, An Analysis of Searchbased User Interaction on the Semantic Web, Information Systems, pp.1386-3681, 2007.

A. Hogan, A. Harth, and S. Decker, Reconrank: A scalable ranking method for semantic web data with context, 2006.

H. Hu and X. Du, Combining N-gram retrieval with weights propagation on massive RDF graphs, 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, pp.1181-1185, 2012.
DOI : 10.1109/FSKD.2012.6233970

K. Järvelin and J. Kekäläinen, IR evaluation methods for retrieving highly relevant documents, Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, pp.41-48, 2000.
DOI : 10.1016/0306-4573(94)90065-5

J. Jeong, M. R. Morris, J. Teevan, and D. J. Liebling, A crowd-powered socially embedded search engine, 2013.

J. Jiang, D. He, A. , and J. , Searching, browsing, and clicking in a search session, Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, SIGIR '14, pp.607-616, 2014.
DOI : 10.1145/2600428.2609633

V. Jindal, S. Bawa, and S. Batra, A review of ranking approaches for semantic search on Web, Information Processing & Management, vol.50, issue.2, pp.416-425, 2014.
DOI : 10.1016/j.ipm.2013.10.004

D. Kelly, Methods for Evaluating Interactive Information Retrieval Systems with Users, Foundations and Trends?? in Information Retrieval, vol.3, issue.1???2, pp.1-224, 2009.
DOI : 10.1561/1500000012

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.8814

J. M. Kleinberg, Authoritative sources in a hyperlinked environment, Journal of the ACM, vol.46, issue.5, pp.604-632, 1999.
DOI : 10.1145/324133.324140

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.3875

C. Kohlschütter, P. Fankhauser, and W. Nejdl, Boilerplate detection using shallow text features, Proceedings of the third ACM international conference on Web search and data mining, WSDM '10, pp.441-450, 2010.
DOI : 10.1145/1718487.1718542

T. G. Kolda and B. W. Bader, Tensor Decompositions and Applications, SIAM Review, vol.51, issue.3, pp.455-500, 2009.
DOI : 10.1137/07070111X

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.782

C. L. Koumenides and N. R. Shadbolt, Ranking methods for entity-oriented semantic web search, Journal of the Association for Information Science and Technology, vol.38, issue.2, pp.1091-1106, 2014.
DOI : 10.1145/1132956.1132959

URL : http://doi.org/10.1002/asi.23018

K. Krippendorff, Content analysis: An introduction to its methodology, 2012.

C. Krishnaveni, S. Rani, and T. , On the classification of imbalanced datasets, IJCST, vol.2, pp.145-148, 2011.

J. R. Landis and G. G. Koch, The Measurement of Observer Agreement for Categorical Data, Biometrics, vol.33, issue.1, pp.159-174, 1977.
DOI : 10.2307/2529310

A. N. Langville and C. D. Meyer, Google's PageRank and beyond: The science of search engine rankings, 2011.
DOI : 10.1515/9781400830329

J. Lehmann, D. Gerber, M. Morsey, and A. N. Ngomo, DeFacto - Deep Fact Validation, The Semantic Web?ISWC 2012, pp.312-327, 2012.
DOI : 10.1007/978-3-642-35176-1_20

J. Lehmann, R. Isele, M. Jakob, A. Jentzsch, D. Kontokostas et al., Dbpedia-a large-scale, multilingual knowledge base extracted from wikipedia, Semantic Web Journal, vol.5, pp.1-29, 2014.

R. Lempel and S. Moran, SALSA: the stochastic approach for link-structure analysis, ACM Transactions on Information Systems, vol.19, issue.2, pp.131-160, 2001.
DOI : 10.1145/382979.383041

M. Marcos and C. González-caro, Comportamiento de los usuarios en la p??gina de resultados de los buscadores. Un estudio basado en <i>eye tracking</i>, El Profesional de la Informacion, vol.348, issue.7, pp.348-358, 2010.
DOI : 10.1016/B978-008044980-7/50003-3

URL : http://eprints.rclis.org/14790/1/2010_eyetracking_EPI.pdf

P. N. Mendes, M. Jakob, A. García-silva, and C. Bizer, DBpedia spotlight, Proceedings of the 7th International Conference on Semantic Systems, I-Semantics '11, pp.1-8, 2011.
DOI : 10.1145/2063518.2063519

D. Metzler and T. Kanungo, Machine learned sentence selection strategies for query-biased summarization, SIGIR Learning to Rank Workshop, pp.40-47, 2008.

R. Mihalcea and D. Moldovan, Semantic indexing using WordNet senses, Proceedings of the ACL-2000 workshop on Recent advances in natural language processing and information retrieval held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics -, pp.35-45, 2000.
DOI : 10.3115/1117755.1117760

URL : http://acl.ldc.upenn.edu/W/W00/W00-1104.pdf

G. A. Miller, WordNet: a lexical database for English, Communications of the ACM, vol.38, issue.11, pp.39-41, 1995.
DOI : 10.1145/219717.219748

URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.83.1823&rep=rep1&type=pdf

T. M. Mitchell, Machine learning, Burr Ridge, p.45, 1997.

R. Neumayer, K. Balog, and K. Nørvåg, On the Modeling of Entities for Ad-Hoc Entity Search in the Web of Data, Proceedings of the 34th European Conference on Advances in Information Retrieval, ECIR'12, pp.133-145, 2012.
DOI : 10.1007/978-3-642-28997-2_12

Z. Nie, Y. Zhang, J. Wen, M. , and W. , Object-level ranking, Proceedings of the 14th international conference on World Wide Web , WWW '05, pp.567-574, 2005.
DOI : 10.1145/1060745.1060828

J. Nielsen, When search engines become answer engines, Jakob Nielsens Alertbox, pp.1-5, 2004.

P. Oram, Wordnet: An electronic lexical database, p.423, 1998.

L. Page, S. Brin, R. Motwani, and T. Winograd, The pagerank citation ranking: bringing order to the web, 1999.

B. Pang, L. Lee, and S. Vaithyanathan, Thumbs up?, Proceedings of the ACL-02 conference on Empirical methods in natural language processing , EMNLP '02, pp.79-86, 2002.
DOI : 10.3115/1118693.1118704

A. Passant, Measuring semantic distance on linking data and using it for resources recommendations, 2010.

T. Penin, H. Wang, T. Tran, Y. , and Y. , Snippet Generation for Semantic Web Search Engines, The Semantic Web, pp.493-507, 2008.
DOI : 10.1007/978-3-540-89704-0_34

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.5716

J. Pound, P. Mika, and H. Zaragoza, Ad-hoc object retrieval in the web of data, Proceedings of the 19th international conference on World wide web, WWW '10, pp.771-780, 2010.
DOI : 10.1145/1772690.1772769

J. R. Quinlan, C4. 5: programs for machine learning, 1993.

A. J. Roa-valverde and M. Sicilia, A survey of approaches for ranking on the web of data, Information Retrieval, vol.33, issue.1, pp.295-325, 2014.
DOI : 10.1007/978-3-540-85902-4_22

M. A. Rodríguez and M. J. Egenhofer, Determining semantic similarity among entity classes from different ontologies. Knowledge and Data Engineering, IEEE Transactions on, vol.15, issue.2, pp.442-456, 2003.

M. Sah and V. Wade, Personalized Concept-Based Search and Exploration on the Web of Data Using Results Categorization, The Semantic Web: Semantics and Big Data, pp.532-547, 2013.
DOI : 10.1007/978-3-642-38288-8_36

M. Schmachtenberg, C. Bizer, and H. Paulheim, Adoption of the Linked Data Best Practices in Different Topical Domains, The Semantic Web -ISWC 2014 -13th International Semantic Web Conference Proceedings, Part I, pp.245-260, 2014.
DOI : 10.1007/978-3-319-11964-9_16

C. E. Shannon, A mathematical theory of communication, ACM SIGMOBILE Mobile Computing and Communications Review, vol.5, issue.1, pp.3-55, 2001.
DOI : 10.1145/584091.584093

B. Shneiderman, The eyes have it: a task by data type taxonomy for information visualizations, Visual Languages Proceedings., IEEE Symposium on, pp.336-343, 1996.

T. Steiner, R. Troncy, and M. Hausenblas, How google is using linked data today and vision for tomorrow, Proceedings of Linked Data in the Future Internet, p.700, 2010.

A. Tonon, M. Catasta, R. Prokofyev, G. Demartini, K. Aberer et al., Contextualized ranking of entity types based on knowledge graphs, Web Semantics: Science, Services and Agents on the World Wide Web, 2016.
DOI : 10.1016/j.websem.2015.12.005

L. G. Valiant, A theory of the learnable, Communications of the ACM, vol.27, issue.11, pp.1134-1142, 1984.
DOI : 10.1145/1968.1972

R. Varadarajan and V. Hristidis, Structure-based query-specific document summarization, Proceedings of the 14th ACM international conference on Information and knowledge management , CIKM '05, pp.231-232, 2005.
DOI : 10.1145/1099554.1099602

C. Wang, F. Jing, L. Zhang, and H. Zhang, Learning query-biased web page summarization, Proceedings of the sixteenth ACM conference on Conference on information and knowledge management , CIKM '07, pp.555-562, 2007.
DOI : 10.1145/1321440.1321518

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.7312

W. Wei, P. Barnaghi, and A. Bargiela, Rational Research model for ranking semantic entities, Information Sciences, vol.181, issue.13, pp.1812823-2840, 2011.
DOI : 10.1016/j.ins.2011.02.028

URL : http://epubs.surrey.ac.uk/470678/2/SRI_deposit_agreement.pdf

R. W. White, I. Ruthven, J. , and J. M. , Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes, Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '02, pp.57-64, 2002.
DOI : 10.1145/564376.564389

W. A. Woods, Conceptual indexing: A better way to organize knowledge, 1997.

S. Yumusak, E. Dogdu, and H. Kodaz, A short survey of linked data ranking, Proceedings of the 2014 ACM Southeast Regional Conference on, ACM SE '14, pp.1-48, 2014.
DOI : 10.1145/290941.291008

S. Sparql, Q. Language, and . Search, User Interface SVD Singular Value Decomposition SVMs Support Vector Machines SW Semantic Web SWD Semantic Web Document SWDB Semantic Web DataBase SWO Semantic Web Ontology

. Lyon, Cette thèse est accessible à l'adresse : http://theses.insa-lyon.fr/publication

M. Alsarem, A Generic Approach Based on Linked Data to Enhance Web Information Retrieval and Increase User Satisfaction, Conférence en Recherche d'Information et Applications, CORIA13, RJCRI13, pp.299-304, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01339259

M. Alsarem, P. E. Portier, S. Calabretto, and H. Kosch, Making Use of Linked Data for Generating Enhanced Snippets The Semantic Web: ESWC 2014 Satellite Events, Proceedings of the 11th Extended Semantic Web Conference, pp.275-279

M. Alsarem, P. E. Portier, S. Calabretto, and H. , Kosch : Ordonnancement d'entités appliquéappliquéà la construction de snippets sémantiques, Conférence en Recherche d'Information et Applications, p.15, 2015.

M. Alsarem, P. E. Portier, S. Calabretto, and H. Kosch, Ranking Entities in the Age of Two Webs, an Application to Semantic Snippets The Semantic Web. Latest Advances and New Domains, Proceedings of the 12th Extended Semantic Web Conference, pp.541-555, 2015.

M. Alsarem, P. E. Portier, S. Calabretto, and H. Kosch, SEMashup: Making Use of Linked Data for Generating Enhanced Snippets, Proceedings of the AI Mashup Challenge 2014, co-located with 11th Extended Semantic Web Conference, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01301087

M. Alsarem, P. E. Portier, S. Calabretto, and H. , Kosch : Query-biased Ranking of LOD Entities for Semantic Snippets