research-article

SWRL-F: a fuzzy logic extension of the semantic web rule language

Authors:

Tomasz Wiktor Wlodarczyk,

Marting O'Connor,

Mark MusenAuthors Info & Claims

WIMS '11: Proceedings of the International Conference on Web Intelligence, Mining and Semantics

Article No.: 39, Pages 1 - 9

https://doi.org/10.1145/1988688.1988735

Published: 25 May 2011 Publication History

Abstract

Enhancing Semantic Web technologies with ability to express uncertainty and imprecision is widely discussed topic. While SWRL can provide additional expressivity to OWL-based ontologies, it does not provide any way to handle uncertainty or imprecision. There is a pressing need to provide a standard-based, simple and functioning solution. We describe an extension of SWRL called SWRL-F that we believe can provides such a solution. SWRL-F is based on SWRL rule language and uses SWRL's strong semantic foundation as its formal underpinning. We extend it with a SWRL-F ontology to enable fuzzy reasoning in the rule base basing on the fuzzy control systems approach. The resulting language provides small but powerful set of fuzzy operations that do not introduce inconsistencies in the host ontology. We present it basing on the example of risk assessment in oil and gas industry which was a driving use case for this project.

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Cited By

Filippov ARomanov A(2024)Construction of a Fuzzy Logical Inference System Based on Semantic Web Technologies2024 International Russian Automation Conference (RusAutoCon)10.1109/RusAutoCon61949.2024.10694476(768-773)Online publication date: 8-Sep-2024
https://doi.org/10.1109/RusAutoCon61949.2024.10694476
Bai LZhu L(2023)Spatiotemporal Data Modeling Based on RDFUncertain Spatiotemporal Data Management for the Semantic Web10.4018/978-1-6684-9108-9.ch001(1-43)Online publication date: 15-Dec-2023
https://doi.org/10.4018/978-1-6684-9108-9.ch001
Yan WZanni-Merk CCavallucci DCao QZhang LJi Z(2022)A Rule-Based Heuristic Methodology for Su-Field Analysis in Industrial Engineering DesignInformation10.3390/info1303014313:3(143)Online publication date: 8-Mar-2022
https://doi.org/10.3390/info13030143
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Index Terms

SWRL-F: a fuzzy logic extension of the semantic web rule language
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
  2. Machine learning
    1. Machine learning approaches
      1. Rule learning

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cover image ACM Other conferences

WIMS '11: Proceedings of the International Conference on Web Intelligence, Mining and Semantics

May 2011

563 pages

ISBN:9781450301480

DOI:10.1145/1988688

Program Chair:
Rajendra Akerkar
Western Norway Research Institute, Norway

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 25 May 2011

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WIMS '11

WIMS '11: International Conference on Web Intelligence, Mining

May 25 - 27, 2011

Sogndal, Norway

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Overall Acceptance Rate 140 of 278 submissions, 50%

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Cited By

Filippov ARomanov A(2024)Construction of a Fuzzy Logical Inference System Based on Semantic Web Technologies2024 International Russian Automation Conference (RusAutoCon)10.1109/RusAutoCon61949.2024.10694476(768-773)Online publication date: 8-Sep-2024
https://doi.org/10.1109/RusAutoCon61949.2024.10694476
Bai LZhu L(2023)Spatiotemporal Data Modeling Based on RDFUncertain Spatiotemporal Data Management for the Semantic Web10.4018/978-1-6684-9108-9.ch001(1-43)Online publication date: 15-Dec-2023
https://doi.org/10.4018/978-1-6684-9108-9.ch001
Yan WZanni-Merk CCavallucci DCao QZhang LJi Z(2022)A Rule-Based Heuristic Methodology for Su-Field Analysis in Industrial Engineering DesignInformation10.3390/info1303014313:3(143)Online publication date: 8-Mar-2022
https://doi.org/10.3390/info13030143
Méndez JMeza-Sánchez APonce PMcDaniel TPeffer TMeier AMolina A(2021)Smart Homes as Enablers for Depression Pre-Diagnosis Using PHQ-9 on HMI through Fuzzy Logic Decision SystemSensors10.3390/s2123786421:23(7864)Online publication date: 26-Nov-2021
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Yan WZanni-Merk CCavallucci DZhang LWang J(2021)Extended intelligent Su-Field analysis based on fuzzy inferenceProcedia Computer Science10.1016/j.procs.2021.08.019192(182-191)Online publication date: 2021
https://doi.org/10.1016/j.procs.2021.08.019
Pittl BFill H(2020)A visual modeling approach for the Semantic Web Rule LanguageSemantic Web10.3233/SW-18034011:2(361-389)Online publication date: 1-Jan-2020
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Zhu LLi NBai LGong YXing Y(2020)stRDFS: Spatiotemporal Knowledge Graph ModelingIEEE Access10.1109/ACCESS.2020.30086888(129043-129057)Online publication date: 2020
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Michael JAl Machot FMayr HMakedon FMariottini GKorn OMaglogiannis IMetsis V(2015)ADOxx based tool support for a behavior centered modeling approachProceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2769493.2769503(1-8)Online publication date: 1-Jul-2015
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