A Fuzzy Datalog Deductive Database System
This paper describes a proposal for a deductive database system with fuzzy <inline-formula> <tex-math notation="LaTeX">{{\small \mathsf{Datalog}}}</tex-math></inline-formula> as its query language. Concepts supporting the fuzzy logic programming system <inline-fo...
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| Published in: | IEEE transactions on fuzzy systems Vol. 26; no. 5; pp. 2634 - 2648 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
IEEE
01.10.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 1063-6706, 1941-0034 |
| Online Access: | Get full text |
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| Summary: | This paper describes a proposal for a deductive database system with fuzzy <inline-formula> <tex-math notation="LaTeX">{{\small \mathsf{Datalog}}}</tex-math></inline-formula> as its query language. Concepts supporting the fuzzy logic programming system <inline-formula><tex-math notation="LaTeX"> {\small{\mathsf{Bousi}}}{\sim} {{\small \mathsf{Prolog}}}</tex-math></inline-formula> are tailored to the needs of the deductive database system <inline-formula><tex-math notation="LaTeX">{{\small \mathsf{DES}}}</tex-math> </inline-formula>. We develop a version of fuzzy <inline-formula><tex-math notation="LaTeX">{{\small \mathsf{Datalog}}}</tex-math></inline-formula> where programs and queries are compiled to the <inline-formula> <tex-math notation="LaTeX">{{\small \mathsf{DES}}}</tex-math></inline-formula> core <inline-formula> <tex-math notation="LaTeX">{{\small \mathsf{Datalog}}}</tex-math></inline-formula> language. Weak unification and weak SLD resolution are adapted for this setting, and extended to allow rules with truth degree annotations. We provide a public implementation in <inline-formula><tex-math notation="LaTeX">{{\small \mathsf{Prolog}}}</tex-math> </inline-formula>, which is open source, multiplatform, portable, and in-memory, featuring a graphical user interface. A distinctive feature of this system is that, unlike others, we have formally demonstrated that our implementation techniques fit the proposed operational semantics. We also study the efficiency of these implementation techniques through a series of detailed experiments. Moreover, a database example for a recommender system is used to illustrate some of the features of the system and its usefulness. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1063-6706 1941-0034 |
| DOI: | 10.1109/TFUZZ.2018.2806923 |