Customization of Service-Oriented Domain Models Using SWRL

Chen, Xiuhong; Gao, Panpan; Wang, Jian; He, Fei; He, Ke

doi:10.1109/scc.2014.42

Cited by 2 publications

(1 citation statement)

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“…Regarding the SWRL rules insertion, some researchers [ 32 , 33 ] recommend to use SWRL plugins of Protégé. Though this approach is easy to use, it can only insert a single rule at one time and the ontology has to be reloaded before the inference process.…”

Section: Introductionmentioning

confidence: 99%

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

Zhai

Ortega

Martínez

et al. 2018

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%