A. T. Flach-p, Learning multi-class theories in ilp, Proceedings of the 20th international conference on Inductive logic programming, pp.6-13, 2011.

A. S. and A. D. Pierkot-c, Towards an ontological approach for classifying remote sensing images, Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on, pp.825-832, 2012.

A. J. Garrett, Understanding Interobserver Agreement : The Kappa Statistic, Family Medicine, vol.37, pp.360-363, 2005.

B. M. , R. E. Nock-r, and . Richard-g, Automatic learning of structural knowledge from geographic information for updating land cover maps, Symposium of the Latin American Society for Remote Sensing and Spatial Information Systems (SELPER), pp.1-10, 2012.

B. H. , D. S. Kompare-b, P. B. Kramer-s, and . Laer-w, Experiments in predicting biodegradability, Applied Artificial Intelligence, vol.18, issue.2, pp.157-181, 2004.

D. N. , D. S. Forestier-g, . Wemmert-c, . Gancarski-p, . Boussaid-o et al., Ontology-based object recognition for remote sensing image interpretation, Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence -Volume 01, ICTAI '07, pp.472-479, 2007.

E. J. , G. A. Gratiot-n, A. M. Proisy-c, and D. F. Fro-mard, The amazon-influenced muddy coast of south america : A review of mud-bank-shoreline interactions, Earth-Science Reviews, vol.103, pp.3-4, 2010.

F. N. and S. F. Camacho-r, April -an inductive logic programming system, JELIA, pp.481-484, 2006.

F. E. and C. M. Quiniou-r, Extraction de connaissances provenant de données multisources pour la caractérisation d'arythmies cardiaques, pp.25-45, 2005.

H. C. and A. J. Bloch-i, Fuzzy spatial relation ontology for image interpretation . Fuzzy Sets and Systems, pp.1929-1951, 2008.

L. N. Dzeroski-s, Inductive Logic Programming : Techniques and Applications, 1994.

L. T. , R. A. , W. V. Linard-b, R. R. Poidevin-l, M. Jean-muller-l et al., Kd4v : Comprehensible knowledge discovery system for missense variant, Nucleic Acids Research, vol.40, issue.1, pp.71-75, 2012.

M. D. Esposito-f, L. F. Lanza-a, and . Appice-a, Empowering a gis with inductive learning capabilities : the case of ingens, Computers, Environment and Urban Systems, vol.27, issue.3, pp.265-281, 2003.

R. L. Koch-g, The measurement of observer agreement for categorical data, Biometrics, vol.33, issue.1, pp.159-174, 1977.

S. J. , N. H. , P. D. , and M. S. Sternberg-m, Automated identification of protein-ligand interaction features using inductive logic programming : A hexose binding case study, BMC Bioinformatics, vol.13, issue.1, p.162, 2012.

S. A. Muggleton-s and S. M. King-r, Theories for mutagenicity : A study in first-order and feature-based induction, Artificial Intelligence, vol.85, pp.277-299, 1996.

V. D. Ferreira-m and . Lopes-r, Spatial-yap : a logic-based geographic information system, Proceedings of the 23rd international conference on Logic programming, ICLP'07, pp.195-208, 2007.

V. D. Santos and C. V. Ferreira-m, Fire ! firing inductive rules from economic geography for fire risk detection, ILP, pp.238-252, 2010.