C. , J. , and A. Bryman, The Knowledge Acquisition Bottleneck : Time for Reassessment ? » In : Expert Systems 5.3, pp.216-225, 1988.

D. , I. Sugato, and B. , « A Survey of Clustering with Instance Level Constraints, ACM Transactions on Knowledge Discovery from Data, pp.1-41, 2007.

D. , I. , and S. S. Ravi, « Agglomerative Hierarchical Clustering with Constraints : Theoretical and Empirical Results, Knowledge Discovery in Databases : PKDD 2005, pp.59-70, 2005.

, « Towards Efficient and Improved Hierarchical Clustering with Instance and Cluster Level Constraints, 2005.

D. , I. Kiri, W. Sugato, and B. , « Measuring ConstraintSet Utility for Partitional Clustering Algorithms, Proceedings of the 10th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD, 2006.

D. , D. L. Donald, and W. Bouldin, « A Cluster Separation Measure, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.2, pp.224-227, 1979.

D. , A. P. Nan, M. Laird, B. Donald, and . Rubin, « Maximum Likelihood from Incomplete Data Via the EM Algorithm, Journal of the Royal Statistical Society. Series B, pp.1-38, 1977.

D. and S. , « Watershed Segmentation of Remotely Sensed Images Based on a Supervised Fuzzy Pixel Classification, Proceedings of the IEEE International Geosciences And Remote Sensing Symposium, IGARSS, pp.3712-3715, 2006.

D. , J. Hatim, C. Mougenot, and M. , « Application Profile for Earth Observation Images, Proceedings of the 8th Metadata and Semantics Research Conference, MTSR. Karlsruhe, pp.68-82, 2014.

. Directive, « 2/EC of the European Parliament and of the Council of 14 March 2007 Establishing an Infrastructure for Spatial Information in the European Community (INSPIRE), Official Journal of European Union, 2007.

D. and N. , « Ontology-Based Object Recognition for Remote Sensing Image Interpretation, 19th IEEE International Conference on Tools with Artificial Intelligence, ICTAI. T. 1. IEEE, pp.472-479, 2007.

, Éléments de physique du rayonnement, 2008.

E. and T. , « Using Openstreetmap Data to Create Benchmarks for Description Logic Reasoners, Informal Proceedings of the 3rd International Workshop on OWL Reasoner Evaluation, 2014.

E. and M. , « Density-Based Clustering, Encyclopedia of Database Systems, pp.795-799, 2009.

E. and M. , « A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise, The 2nd International Conference on Knowledge Discovery and Data Mining, KDD. T. 96. 34, pp.226-231, 1996.

F. Eyben, B. Sabine, and B. Norbert, , 2012.

, Unsupervised Clustering of Emotion and Voice Styles for Expressive TTS, IEEE International Conference on Acoustics, Speech and Signal Processing, pp.4009-4012

F. , Z. Ana-maria, and O. Olte¸teanu, « Logics Based on Qualitative Descriptors for Scene Understanding, Neurocomputing, vol.161, pp.3-16, 2015.

F. and Z. , « Describing Images Using Qualitative Models and Description Logics, Spatial Cognition & Computation 11, pp.45-74, 2011.

F. , P. F. Daniel, and P. Huttenlocher, « Efficient Graph-Based Image Segmentation, International Journal of Computer Vision, vol.59, pp.167-181, 2004.

H. and I. , « The Instance Store : DL Reasoning with Large Numbers of Individuals, Proceedings of the 2004 Description Logic Workshop, DL, pp.31-40, 2004.

A. Hotho, A. Maedche, and S. Steffen, « OntologyBased Text Document Clustering, KI 16, vol.4, pp.48-54, 2002.

A. Hotho, S. Steffen, and S. Gerd, « Ontologies Improve Text Document Clustering, Proceedings of the 3rd IEEE International Conference on Data Mining, ICDM. IEEE, pp.541-544, 2003.
DOI : 10.1109/icdm.2003.1250972

X. Hu, « Exploiting Wikipedia as External Knowledge for Document Clustering, Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.389-396, 2009.
DOI : 10.1145/1557019.1557066

H. , C. Jamal, A. Isabelle, and B. , « Fuzzy Spatial Relation Ontology for Image Interpretation, Fuzzy Sets and Systems 159, vol.15, pp.1929-1951, 2008.

S. Image, « SPOT User's Handbook ». In : Centre National d'Etude Spatiale (CNES) and SPOT Image 1, p. 3. ISO 19115-Geographic Information Metadata, 1988.

J. , A. K. Patrick, and J. Flynn, Image Segmentation Using Clustering, 1996.

J. , A. K. Narasimha, M. Patrick, and J. Flynn, « Data Clustering : A Review, ACM Computing Surveys, CSUR, vol.31, pp.264-323, 1999.

J. and A. K. , « Landscape of Clustering Algorithms, Proceedings of the 17th International Conference on Pattern Recognition, ICPR. T. 1. IEEE, pp.260-263, 2004.

J. and J. R. , Introductory Digital Image Processing : a Remote Sensing Perspective, Rapp. tech. Univ. of South Carolina, 1986.

J. and L. , « Ontology-Based Distance Measure for Text Clustering, Proceedings of SIAM SDM workshop on text mining, 2006.

J. and T. , « Transductive Inference for Text Classification Using Support Vector Machines, Proceedings of 16th International Conference on Machine Learning, ICML. T. 99, pp.200-209, 1999.

J. and S. C. , « Hierarchical Clustering Schemes, Psychometrika, vol.32, pp.241-254, 1967.

J. and C. F. , « Derivation of Leaf-Area Index from Quality of Light on the Forest Floor, Ecology 50, vol.4, pp.663-666, 1969.

K. , G. , E. Han, and K. Vipin, « Chameleon : Hierarchical Clustering using Dynamic Modeling, Computer 32, vol.8, pp.68-75, 1999.

K. and M. , « GEOSUD SDI : Accessing Earth Observation Data Collections with Semantic-Based Services, Proceedings of the 17th AGILE Conference on Geographic Information Science, Connecting a Digital Europe through Location and Place, 2014.

K. and A. , « Machine Literature Searching VIII. Operational Criteria for Designing Information Retrieval Systems, American Documentation 6, vol.2, pp.93-101, 1955.

K. and C. , « La télédétection aérospatiale : une introduction, Cours de télédétection, Ecole Normale Supérieure, 1990.

K. and A. , « Learning Must-Link Constraints for Video Segmentation Based on Spectral Clustering, Pattern Recognition, pp.701-712, 2014.

K. , M. , G. Lausen, and W. U. James, « Logical Foundations of Object-Oriented and Frame-Based Languages, Journal of the ACM (JACM), vol.42, pp.741-843, 1995.

M. , M. Michel, and C. , Conceptual Graphs : Fundamental Notions, vol.4, pp.365-406, 1992.

M. , F. Pedro, and C. , « Algorithms for Hierarchical Clustering : An Overview, Wiley Interdisciplinary Reviews : Data Mining and Knowledge Discovery, vol.2, pp.86-97, 2012.

N. , D. Ronald, and J. Brachman, « An Introduction to Description Logics, Description Logic Handbook, pp.1-40, 2003.

B. Neumann and M. Ralf, « On Scene Interpretation with Description Logics, Image and Vision Computing, vol.26, pp.82-101, 2008.
DOI : 10.1007/11414353_15

URL : http://kogs-www.informatik.uni-hamburg.de/publikationen/pub-neumann/Logics-TR.pdf

N. G. , A. Y. Michael, I. Jordan, and Y. Weiss, On Spectral Clustering : Analysis and an Algorithm, vol.2, pp.849-856, 2002.

P. , D. Dorit, and B. , « K-Means with Large and Noisy Constraint Sets, Proceedings of the 18th European Conference on Machine Learning, pp.674-682, 2007.

J. Schober, T. Hermes, and H. Otthein, « ContentBased Image Retrieval by Ontology-Based Object Recognition, Proceedings of the Workshop on Applications of Description Logics, 2004.

S. , J. Dimitar, and K. , « WordNet-based Text Document Clustering, Proceedings of the 3rd Workshop on Robust Methods in Analysis of Natural Language Data. Association for Computational Linguistics, pp.104-113, 2004.

M. Seeger, Learning with Labeled and Unlabeled Data, 2000.

S. , S. Z. Mohamed, and A. Ismail, « K-Means-Type Algorithms : a Generalized Convergence Theorem and Characterization of Local Optimality, IEEE Transactions on Pattern Analysis and Machine Intelligence 1, pp.81-87, 1984.

M. Sester, « Knowledge Acquisition for the Automatic Interpretation of Spatial Data, International Journal of Geographical Information Science, vol.14, pp.1-24, 2000.

N. Shadbolt, B. Tim, and H. Wendy, « The Semantic Web Revisited, IEEE Intelligent Systems, vol.21, pp.1541-1672, 2006.

D. Sheeren, « Discovering Rules with Genetic Algorithms to Classify Urban Remotely Sensed Data, Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, IGARSS, pp.3919-3922, 2006.

N. Shental, « Computing Gaussian Mixture Models with EM using Equivalence Constraints, Advances in Neural Information Processing Systems 16, vol.8, pp.465-472, 2004.

E. Sirin, « Pellet : A Practical OWL-DL Reasoner, Web Semantics : Science, Services and Agents on the World Wide Web, vol.5, pp.51-53, 2007.

S. and A. W. , « Content-Based Image Retrieval at the End of the Early Years, Pattern Analysis and Machine Intelligence, vol.12, pp.1349-1380, 2000.

S. and J. F. , Conceptual Structures : Information Processing in Mind and Machine, 1983.

T. Ccrs, Centre canadien de cartographie et d'observation de la, Notions fondamentales de Télédétection, 2013.

T. , D. Ian, and H. , « FaCT++ Description Logic Reasoner : System Description, Proceedings of the 3rd International Joint Conference on Automated Reasoning, pp.292-297, 2006.

T. and C. J. , « Red and Photographic Infrared Linear Combinations for Monitoring Vegetation, Remote Sensing of Environment, vol.8, pp.127-150, 1979.

V. , V. , and A. Sterin, « On Structural Risk Minimization or Overall Risk in a Problem of Pattern Recognition, Automation and Remote Control 10, vol.3, pp.1495-1503, 1977.

V. Vapnik, The Nature of Statistical Learning Theory, 1995.

V. , V. N. Alexey, and J. Chervonenkis, Theory of Pattern Recognition. Nauka, 1974.

J. Vesanto, SOM-based Data Visualization Methods ». In : Intelligent data analysis 3, vol.2, pp.111-126, 1999.

V. Luxburg and U. , « A Tutorial on Spectral Clustering, Statistics and Computing, vol.17, pp.395-416, 2007.

W. , K. Claire, and C. , « Clustering With Instance-Level Constraints, 2000.