Abstract
We present FleSe, a tool for performing fuzzy and non-fuzzy queries to regular databases. The existing tools for querying databases have a syntax too complicate for normal users. What we present is a tool with a user-friendly interface that allows to perform any query that the underlying framework can solve. The framework is fully adaptable and configurable, so that introducing new knowledge and linking it to the information stored in databases can be done easily. We expect this work contributes to the development of more human-oriented fuzzy search engines.
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References
Bosc, P., Pivert, O.: Sqlf: a relational database language for fuzzy querying. IEEE Transactions on Fuzzy Systems 3(1), 1–17 (1995)
Medina, J., Ojeda-Aciego, M., Vojtáš, P.: A multi-adjoint approach to similarity-based unification. Electronic Notes in Theoretical Computer Science 66(5), 70–85 (2002), uNCL 2002, Unification in Non-Classical Logics (ICALP 2002 Satellite Workshop), http://www.sciencedirect.com/science/article/B75H1-4DDWJ13-37/2/bdc92744d6ddc8e888ea314efb711107
Medina, J., Ojeda-Aciego, M., Vojtáš, P.: A completeness theorem for multi-adjoint logic programming. In: FUZZ-IEEE, pp. 1031–1034 (2001)
Medina, J., Ojeda-Aciego, M., Vojtáš, P.: Multi-adjoint logic programming with continuous semantics. In: Eiter, T., Faber, W., Truszczyński, M. (eds.) LPNMR 2001. LNCS (LNAI), vol. 2173, pp. 351–364. Springer, Heidelberg (2001)
Medina, J., Ojeda-Aciego, M., Vojtáš, P.: A procedural semantics for multi-adjoint logic programming. In: Brazdil, P.B., Jorge, A.M. (eds.) EPIA 2001. LNCS (LNAI), vol. 2258, pp. 290–297. Springer, Heidelberg (2001)
Medina, J., Ojeda-Aciego, M., Vojtáš, P.: Similarity-based unification: a multi-adjoint approach. Fuzzy Sets and Systems 146(1), 43–62 (2004)
Moreno, J.M., Ojeda-Aciego, M.: On first-order multi-adjoint logic programming. In: 11th Spanish Congress on Fuzzy Logic and Technology (2002), http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.3800
Palacios, A.M., Gacto, M.J., Alcalá-Fdez, J.: Mining fuzzy association rules from low-quality data. Soft Comput. 16(5), 883–901 (2012)
Pablos-Ceruelo, V., Muñoz-Hernández, S.: Introducing priorities in rfuzzy: Syntax and semantics. In: CMMSE 2011: Proceedings of the 11th International Conference on Mathematical Methods in Science and Engineering, Benidorm, Alicante, Spain, vol. 3, pp. 918–929 (June 2011), http://gsii.usal.es/~CMMSE/index.php?option=com_content&task=view&id=15&Itemid=16
Pablos-Ceruelo, V., Muñoz-Hernández, S.: Getting answers to fuzzy and flexible searches by easy modelling of real-world knowledge. In: FCTA 2013: Proceedings of the 5th International Conference on Fuzzy Computation Theory and Applications (2013)
Sterling, L., Shapiro, E.: The Art of Prolog. MIT Press (1987)
Ishizuka, M., Kanai, N.: Prolog-elf incorporating fuzzy logic. In: IJCAI 1985: Proceedings of the 9th International Joint Conference on Artificial Intelligence, pp. 701–703. Morgan Kaufmann Publishers Inc., San Francisco (1985)
Baldwin, J.F., Martin, T.P., Pilsworth, B.W.: Fril- Fuzzy and Evidential Reasoning in Artificial Intelligence. John Wiley & Sons, Inc., New York (1995)
Li, D., Liu, D.: A fuzzy Prolog database system. John Wiley & Sons, Inc., New York (1990)
Bobillo, F., Straccia, U.: fuzzydl: An expressive fuzzy description logic reasoner. In: 2008 International Conference on Fuzzy Systems (FUZZ 2008), pp. 923–930. IEEE Computer Society (2008)
Morcillo, P.J., Moreno, G.: Floper, a fuzzy logic programming environment for research. In: de Oviedo, F.U. (ed.) Proceedings of VIII Jornadas sobre Programación y Lenguajes (PROLE 2008), Gijón, Spain, pp. 259–263 (October 2008)
Vaucheret, C., Guadarrama, S., Muñoz-Hernández, S.: Fuzzy prolog: A simple general implementation using CLP(R). In: Baaz, M., Voronkov, A. (eds.) LPAR 2002. LNCS (LNAI), vol. 2514, pp. 450–464. Springer, Heidelberg (2002)
Guadarrama, S., Muñoz-Hernández, S., Vaucheret, C.: Fuzzy prolog: a new approach using soft constraints propagation. Fuzzy Sets and Systems (FSS) 144(1), 127–150 (2004); possibilistic Logic and Related Issues
Muñoz-Hernández, S., Pablos-Ceruelo, V., Strass, H.: Rfuzzy: Syntax, semantics and implementation details of a simple and expressive fuzzy tool over prolog. Information Sciences 181(10), 1951–1970 (2011), special Issue on Information Engineering Applications Based on Lattices, http://www.sciencedirect.com/science/article/B6V0C-50PJWYR-2/2/26d8ff890f0effc98aa1c12225a5fb87
The CLIP Lab, The Ciao Prolog Development System WWW Site, http://www.clip.dia.fi.upm.es/Software/Ciao/
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Pablos-Ceruelo, V., Munoz-Hernandez, S. (2014). FleSe: A Tool for Posing Flexible and Expressive (Fuzzy) Queries to a Regular Database. In: Omatu, S., Bersini, H., Corchado, J., Rodríguez, S., Pawlewski, P., Bucciarelli, E. (eds) Distributed Computing and Artificial Intelligence, 11th International Conference. Advances in Intelligent Systems and Computing, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-319-07593-8_20
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DOI: https://doi.org/10.1007/978-3-319-07593-8_20
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