A Rule-Based Reasoner for Underwater Robots Using OWL and SWRL

Zhai, Zhaoyu and Martínez Ortega, José Fernán and Lucas Martínez, Néstor and Castillejo Parrilla, Pedro (2018). A Rule-Based Reasoner for Underwater Robots Using OWL and SWRL. "Sensors", v. 18 (n. 10); ISSN 1424-8220. https://doi.org/10.3390/s18103481.

Description

Title: A Rule-Based Reasoner for Underwater Robots Using OWL and SWRL
Author/s:
  • Zhai, Zhaoyu
  • Martínez Ortega, José Fernán
  • Lucas Martínez, Néstor
  • Castillejo Parrilla, Pedro
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 16 October 2018
ISSN: 1424-8220
Volume: 18
Subjects:
Freetext Keywords: underwater robots; semantic representation; ontology languages; SWRL rules; rule-based reasoning
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Ingeniería Telemática y Electrónica
UPM's Research Group: Grupo de Redes y Servicios de Próxima Generación (GRyS)
Creative Commons Licenses: Recognition

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Abstract

Web Ontology Language (OWL) is designed to represent varied knowledge about things and the relationships of things. It is widely used to express complex models and address information heterogeneity of specific domains, such as underwater environments and robots. With the help of OWL, heterogeneous underwater robots are able to cooperate with each other by exchanging information with the same meaning and robot operators can organize the coordination easier. However, OWL has expressivity limitations on representing general rules, especially the statement “If … Then … Else …”. Fortunately, the Semantic Web Rule Language (SWRL) has strong rule representation capabilities. In this paper, we propose a rule-based reasoner for inferring and providing query services based on OWL and SWRL. SWRL rules are directly inserted into the ontologies by several steps of model transformations instead of using a specific editor. In the verification experiments, the SWRL rules were successfully and efficiently inserted into the OWL-based ontologies, obtaining completely correct query results. This rule-based reasoner is a promising approach to increase the inference capability of ontology-based models and it achieves significant contributions when semantic queries are done.

Funding Projects

TypeCodeAcronymLeaderTitle
Horizon 2020662107SWARMsUniversidad Politécnica de MadridSmart and Networking UnderWAter Robots in Cooperation Meshes

More information

Item ID: 67433
DC Identifier: https://oa.upm.es/67433/
OAI Identifier: oai:oa.upm.es:67433
DOI: 10.3390/s18103481
Official URL: https://www.mdpi.com/1424-8220/18/10/3481/htm
Deposited by: Dr. Néstor Lucas Martinez
Deposited on: 22 Jun 2021 10:22
Last Modified: 22 Jun 2021 10:45
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