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What is SWRL

Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches
The Semantic Web Rule Language is a proposal for a Semantic Web rules language combining sublanguages of OWL and RuleML.
Published in Chapter:
Languages and Tools for Rule Modeling
Grzegorz Nalepa (AGH University of Science and Technology, Poland)
DOI: 10.4018/978-1-60566-402-6.ch025
Abstract
This chapter presents selected practical issues of rule modeling. This field combines both classic artificial intelligence methods and software engineering. The chapter gives a concise presentation of selected relevant methods, and approaches, put in an engineering perspective. The modeling language used in the communication between business analysts and experts for analyzing the system requirements should not be too technical. It should allow for visual rule expressions, which can be understood by experts without an extensive technical training. The main goals of this chapter are: to summarize the formal foundations of rules found in the field of AI, including decision tables and trees; discuss main challenges in practical rule design, and modeling; introduce selected recent research in the field of rule design, focusing on visual modeling; and observe some important future trends in rule design and integration. In the chapter it is argued that efficient visual rule modeling methods are crucial for developing complex rule systems.
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More Results
Sharing Ontologies and Rules Using Model Transformations
A Semantic Web Rule Language based on a combination of the OWL DL and OWL Lite sublanguages of the OWL Web Ontology Language with the Unary/Binary Datalog RuleML sublanguages of the Rule Markup Language. It thus enables Horn-like rules to be combined with an OWL knowledge base.
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Using the Semantic Web Rule Language in the Development of Ontology-Driven Applications
The Semantic Web Rule Language (SWRL) is an expressive OWL-based rule language. SWRL allows users to write rules that can be expressed in terms of OWL concepts to provide more powerful deductive reasoning capabilities than OWL alone. Semantically, SWRL is built on the same description logic foundation as OWL and provides similar strong formal guarantees when performing inference.
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An Ontology-Based Context-Aware Infrastructure for Smart Homes
it is a proposal for a Semantic Web Rule Language, combining sublanguages of the OWL Web Ontology Language (OWL DL and Lite) with those of the Rule Markup Language (Unary/Binary Datalog).
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Definition of a Pervasive Architecture for a Central Monitoring of Homecare Systems
It includes a high-level abstract syntax for Horn-like rules in both the OWL DL and OWL Lite sublanguages of OWL. A model-theoretic semantics is given to provide the formal meaning for OWL ontologies including rules written in this abstract syntax.
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