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Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Regular paths in SparQL: querying the NCI Thesaurus.
Landon T Detwiler1, Dan Suciu, James F Brinkley
1Structural Informatics Group, Departments of Biological Structure, University of Washington, Seattle, WA, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|November 13, 2008
Summary
GLEEN simplifies complex Web Ontology Language (OWL) ontologies using regular path expressions. This library enhances the SPARQL query language, making OWL data more intuitive and accessible for users without deep logic expertise.
Area of Science:
- Computer Science
- Semantic Web Technologies
- Knowledge Representation
Background:
- Web Ontology Language (OWL) provides formal knowledge representation for the semantic web.
- Description logics underpin OWL, offering computability but posing cognitive challenges for users.
- Existing OWL ontologies can be unintuitive for individuals without a strong background in formal logic.
Purpose of the Study:
- To introduce GLEEN, a regular path expression library designed to simplify complex OWL ontologies.
- To extend the SPARQL query language for advanced path expression capabilities over RDF-based ontologies.
- To demonstrate a query-based approach for generating intuitive views of OWL ontologies.
Main Methods:
- Developed GLEEN, a library extending SPARQL with regular path expression support.
- Utilized GLEEN to construct SPARQL queries for defining simplified ontology views.
- Applied GLEEN-enhanced SPARQL to the NCI Thesaurus OWL version for comparative analysis.
Main Results:
- GLEEN successfully extends SPARQL to handle complex path expressions in OWL ontologies.
- Simple GLEEN-enhanced SPARQL queries can generate intuitive views of OWL data.
- The generated views using GLEEN match those produced by the NCI browser interface.
Conclusions:
- GLEEN offers a practical solution for improving the usability of OWL ontologies.
- The library facilitates a more accessible query-based approach to understanding complex knowledge representations.
- GLEEN enhances the utility of semantic web technologies by bridging the gap between formal logic and user intuition.
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