Lexico-Logical Acquisition of OWL DL Axioms - An Integrated Approach to Ontology Refinement

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Lexico-Logical Acquisition of OWL DL Axioms - An Integrated Approach to Ontology Refinement

Johanna VölkerJohanna Völker,  Sebastian RudolphSebastian Rudolph
Johanna Völker, Sebastian Rudolph
Lexico-Logical Acquisition of OWL DL Axioms - An Integrated Approach to Ontology Refinement
In Raoul Medina and Sergei Obiedkov, eds., Proceedings of the 6th International Conference on Formal Concept Analysis (ICFCA'08), volume 4933 of Lecture Notes in Artificial Intelligence, 62-77, February 2008. Springer
  • KurzfassungAbstract
    In order to overcome human and time resource problems in the task of ontology design, we propose to combine the LExO approach to learning expressive ontology axioms from textual definitions with Relational Exploration - a technique based on the well-known attribute exploration algorithm from FCA which is used to interactively clarify underspecified logical dependencies. By forcing particular modeling decisions the exploration of classes and class extension relationships guarantees completeness with respect to a certain logical fragment and increases the overall quality of the ontology. Providing an implementation as well as an example, we demonstrate how ontology learning and exploration complement each other in a synergetic way.
  • Weitere Informationen unter:Other info: Link
  • Forschungsgruppe:Research Group: Computational Logic
The final publication is available at Springer.
@inproceedings{VR2008,
  author    = {Johanna V{\"{o}}lker and Sebastian Rudolph},
  title     = {Lexico-Logical Acquisition of {OWL} {DL} Axioms - An Integrated
               Approach to Ontology Refinement},
  editor    = {Raoul Medina and  Sergei Obiedkov},
  booktitle = {Proceedings of the 6th International Conference on Formal Concept
               Analysis (ICFCA'08)},
  series    = {Lecture Notes in Artificial Intelligence},
  volume    = {4933},
  publisher = {Springer},
  year      = {2008},
  month     = {February},
  pages     = {62-77}
}