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owlcpp: a C++ library for working with OWL ontologies.

Mikhail K Levin1, Lindsay G Cowell1

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Summary
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The new owlcpp library offers efficient storage and searching of RDF triples, improving ontology processing. It provides strict parsing and better memory usage compared to existing tools.

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Semantic Web Technologies

Background:

  • The growing adoption of ontologies necessitates efficient and accessible software libraries.
  • Existing tools often lack cross-platform compatibility and multi-language support for ontology management.

Purpose of the Study:

  • To develop a C++ library, owlcpp, for efficient ontology manipulation.
  • To provide a versatile tool for storing, searching, parsing, and reasoning with RDF triples and OWL axioms.

Main Methods:

  • Developed owlcpp in ISO-compliant C++ for performance and portability.
  • Integrated Raptor RDF Syntax library for RDF/XML parsing.
  • Utilized FaCT++ library for reasoning capabilities.
  • Provided a Python API for accessibility.

Main Results:

  • owlcpp demonstrates superior efficiency in memory usage and RDF triple store searching.
  • The library ensures strict RDF/XML parsing, minimizing semantic interpretation errors.
  • Supports Linux, macOS, and Windows platforms.

Conclusions:

  • owlcpp offers a significant improvement in performance and reliability for ontology processing.
  • Its efficiency and strict parsing reduce errors in semantic interpretation.
  • The library is open-source and accessible for broader adoption.