Integrating Ontologies And Rules: An Overview With Focus On SWRL.pdf

OntologyRules-BookChapter2009.pdf
Preview of Integrating Ontologies and Rules: An Overview with Focus on SWRL
🔗 Source: daselab.cs.ksu.edu
📊 Size: 252 KB
📄 Pages: 21 pages
⬇️ Downloads: 35

Summary

This chapter explores the integration of Web Ontology Language OWL (based on Description Logics and open-world assumption) with rule-based systems (using logic programming). Challenges arise due to contrasting paradigms: OWL's open-world vs. rules' closed-world assumptions.

Key Concepts:

OWL DL: Recommended W3C language for expressing ontologies on the Semantic Web, based on first-order predicate logic.
Rule-based systems (logic programming): Use rule-like expressions to infer conclusions from premises, often employed in industrial applications.
SWRL (Semantic Web Rule Language): Unrestricted union of OWL DL and binary Horn logic, allowing for expressive rules while retaining decidability through "DL-Safe" restriction limiting variable values to named individuals.
DL-Safe Rules: SWRL rules that adhere to the DL-Safety condition, ensuring decidability and enabling practical implementations like KAON2.

Approaches:

The chapter discusses various hybrid approaches:

SWRL: Combines OWL DL with Horn logic, offering powerful rule modeling but undecidability without DL-Safe restriction.
Rule Fragments of OWL DL:
DLP (Naive Horn Fragment): Simplest fragment allowing basic rule forms.
Horn-SHIQ: More sophisticated fragment encompassing DLP.
* Hybrid Systems: Combine OWL with existing rule languages, blending open and closed-world assumptions.

Significance:

The integration of OWL and rules is crucial for building comprehensive and flexible ontologies capable of reasoning under uncertainty while leveraging the strengths of both paradigms. SWRL and DL-Safe Rules represent promising directions in this area.

Description

This paper explores the integration of Web Ontology Language OWL (a W3C-recommended Semantic Web language based on Description Logics) with rule-based systems, considering their respective strengths in knowledge representation and industrial applications.

Technical Information

  • File Format: PDF
  • File Size: 252 KB
  • Pages: 21
  • Language: EN
  • Total Downloads: 35
  • Last Updated: 6 days ago

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