Winnowing Ontologies Based on Application Use, Lecture Notes in Computer Science, vol.4011, pp.185-199, 2006. ,
DOI : 10.1007/11762256_16
Ontology-Based Query and Answering in Chemistry: OntoNova Project Halo, Lecture Notes in Computer Science, vol.2870, pp.913-928, 2003. ,
DOI : 10.1007/978-3-540-39718-2_58
Linked data. W3C Design Issues http, 2006. ,
Robust and scalable Linked Data reasoning incorporating provenance and trust annotations, Web Semantics: Science, Services and Agents on the World Wide Web, vol.9, issue.2, pp.165-201, 2011. ,
DOI : 10.1016/j.websem.2011.06.003
Ontology-based Approximate Query Processing for Searching the Semantic Web with Corese, INRIA, 2006. ,
URL : https://hal.archives-ouvertes.fr/inria-00070387
DC Proposal: PRISSMA, Towards Mobile Adaptive Presentation of the Web of Data, Lecture Notes in Computer Science, vol.5, pp.269-276, 2011. ,
DOI : 10.1007/11926078_12
URL : https://hal.archives-ouvertes.fr/hal-00691359
Text summarization The Oxford Handbook of Computational Linguistics, 2005. ,
Ontology matching, 2007. ,
DOI : 10.1007/978-3-642-38721-0
URL : https://hal.archives-ouvertes.fr/hal-00918122
Linking justifications in the collaborative semantic web applications, Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion, pp.1083-1090 ,
DOI : 10.1145/2187980.2188245
URL : https://hal.archives-ouvertes.fr/hal-00693176
A Brief Review of Explanation in the Semantic Web, Workshop on Explanation-aware Computing European Conference on Artificial Intelligence, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00729037
Cumulated gain-based evaluation of IR techniques, ACM Transactions on Information Systems, vol.20, issue.4, pp.422-446, 2002. ,
DOI : 10.1145/582415.582418
The Fundamentals of iSPARQL: A Virtual Triple Approach for Similarity-Based Semantic Web Tasks, Proceedings of the 6th International Semantic Web Conference (ISWC), pp.295-309, 2007. ,
DOI : 10.1007/978-3-540-76298-0_22
Evaluations of User-Driven Ontology Summarization, Lecture Notes in Computer Science, vol.6317, pp.544-553, 2010. ,
DOI : 10.1007/978-3-642-16438-5_44
Explaining answers from the Semantic Web: the Inference Web approach, Web Semantics: Science, Services and Agents on the World Wide Web, vol.1, issue.4, pp.397-413, 2004. ,
DOI : 10.1016/j.websem.2004.06.002
Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores, Lecture Notes in Computer Science, vol.4956, pp.414-421, 2008. ,
DOI : 10.1007/978-3-540-78646-7_38
PROV-DM: The PROV data model. World Wide Web Consortium, 2012. ,
Identifying Key Concepts in an Ontology, through the Integration of Cognitive Principles with Statistical and Topological Measures, The Semantic Web, pp.242-256, 2008. ,
DOI : 10.1007/978-3-540-89704-0_17
Evaluation measures for text summarization, Computing and Informatics, vol.28, issue.2, pp.251-275, 2009. ,
Ontology summarization based on rdf sentence graph, Proceedings of the 16th international conference on World Wide Web , WWW '07, pp.707-716, 2007. ,
DOI : 10.1145/1242572.1242668