A Multi-Adjoint Approach to Similarity-Based Unification

Authors

Jesús Medina

Peter Vojtás

Published

1 January 2002

Publication details

Unification in Non-Classical Logics, {UNCL} 2002, {ICALP} 2002 Satellite Workshop, M{'{a}}laga, Spain, July 12-13, 2002 , Electronic Notes in Theoretical Computer Science vol. 66, pages 70–85.

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Abstract

A formal model for similarity-based fuzzy unification in multi-adjoint logic programs is presented. On this computational model, a similarity-based unification approach is constructed by simply adding axioms of fuzzy similarities and using classical crisp unification which provides a semantic framework for logic programming with different notions of similarity.

Citation

Please, cite this work as:

[MOV02] J. Medina, M. Ojeda-Aciego, and P. Vojtás. “A Multi-Adjoint Approach to Similarity-Based Unification”. In: Unification in Non-Classical Logics, UNCL 2002, ICALP 2002 Satellite Workshop, Málaga, Spain, July 12-13, 2002. Ed. by P. Eklund and M. Ojeda-Aciego. Vol. 66. Electronic Notes in Theoretical Computer Science 5. Elsevier, 2002, pp. 70-85. DOI: 10.1016/S1571-0661(04)80515-2. URL: https://doi.org/10.1016/S1571-0661(04)80515-2.

BibTeX

@InProceedings{Medina2002b,
     author = {Jes{’u}s Medina and Manuel Ojeda-Aciego and Peter Vojt{’a}s},
     booktitle = {Unification in Non-Classical Logics, {UNCL} 2002, {ICALP} 2002 Satellite Workshop, M{'{a}}laga, Spain, July 12-13, 2002},
     title = {A Multi-Adjoint Approach to Similarity-Based Unification},
     year = {2002},
     editor = {Patrik Eklund and Manuel Ojeda-Aciego},
     number = {5},
     pages = {70–85},
     publisher = {Elsevier},
     series = {Electronic Notes in Theoretical Computer Science},
     volume = {66},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/journals/entcs/MedinaOV02.bib},
     doi = {10.1016/S1571-0661(04)80515-2},
     timestamp = {Tue, 06 Dec 2022 00:00:00 +0100},
     url = {https://doi.org/10.1016/S1571-0661(04)80515-2},
}

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Citations
CrossRef - Citation Indexes: 1
Scopus - Citation Indexes: 10

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Mendeley - Readers: 7

Cites

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Papers citing this work

The following is a non-exhaustive list of papers that cite this work:

[1] M. H. Deedar and S. Munoz-Hernandez. “UFleSe: User-Friendly Parametric Framework for Expressive Flexible Searches”. In: Canadian Journal of Electrical and Computer Engineering 43.4 (2020), p. 235–250. ISSN: 0840-8688. DOI: 10.1109/cjece.2020.2966733. URL: http://dx.doi.org/10.1109/cjece.2020.2966733.

[2] M. H. Deedar and S. Muñoz-Hernández. “Allowing Users to Create Similarity Relations for Their Flexible Searches over Databases”. In: Artificial Intelligence and Soft Computing. Springer International Publishing, 2019, p. 526–541. ISBN: 9783030209155. DOI: 10.1007/978-3-030-20915-5_47. URL: http://dx.doi.org/10.1007/978-3-030-20915-5_47.

[3] M. H. Deedar and S. Muñoz-Hernández. “Personalizing Fuzzy Search Criteria for Improving User-Based Flexible Search”. In: Human Interaction, Emerging Technologies and Future Applications IV. Springer International Publishing, 2021, p. 186–199. ISBN: 9783030740092. DOI: 10.1007/978-3-030-74009-2_24. URL: http://dx.doi.org/10.1007/978-3-030-74009-2_24.

[4] S. Krajči, R. Lencses, J. Medina, et al. “A Similarity-Based Unification Model for Flexible Querying”. In: Flexible Query Answering Systems. Springer Berlin Heidelberg, 2002, p. 263–273. ISBN: 9783540361091. DOI: 10.1007/3-540-36109-x_21. URL: http://dx.doi.org/10.1007/3-540-36109-x_21.

[5] S. Munoz-Hernandez, V. Pablos-Ceruelo, and H. Strass. “RFuzzy: Syntax, semantics and implementation details of a simple and expressive fuzzy tool over Prolog”. In: Information Sciences 181.10 (May. 2011), p. 1951–1970. ISSN: 0020-0255. DOI: 10.1016/j.ins.2010.07.033. URL: http://dx.doi.org/10.1016/j.ins.2010.07.033.

[6] V. Pablos-Ceruelo and S. Munoz-Hernandez. “A Framework for Modelling Real-World Knowledge Capable of Obtaining Answers to Fuzzy and Flexible Searches”. In: Computational Intelligence. Springer International Publishing, Nov. 2015, p. 281–297. ISBN: 9783319233925. DOI: 10.1007/978-3-319-23392-5_16. URL: http://dx.doi.org/10.1007/978-3-319-23392-5_16.

[7] V. Pablos-Ceruelo and S. Munoz-Hernandez. “FleSe: A Tool for Posing Flexible and Expressive (Fuzzy) Queries to a Regular Database”. In: Distributed Computing and Artificial Intelligence, 11th International Conference. Springer International Publishing, 2014, p. 157–164. ISBN: 9783319075938. DOI: 10.1007/978-3-319-07593-8_20. URL: http://dx.doi.org/10.1007/978-3-319-07593-8_20.

[8] V. Pablos-Ceruelo and S. Munoz-Hernandez. “On modelling real-world knowledge to get answers to fuzzy and flexible searches without human intervention”. In: 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, Jul. 2014, p. 2329–2336. DOI: 10.1109/fuzz-ieee.2014.6891723. URL: http://dx.doi.org/10.1109/fuzz-ieee.2014.6891723.

[9] V. Pablos-Ceruelo and S. Muñoz-Hernández. “Introducing Similarity Relations in a Framework for Modelling Real-World Fuzzy Knowledge”. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer International Publishing, 2014, p. 51–60. ISBN: 9783319088525. DOI: 10.1007/978-3-319-08852-5_6. URL: http://dx.doi.org/10.1007/978-3-319-08852-5_6.