Refining an Ontology by Learning Stakeholder Votes from their Texts
Olga Tatarintseva, Vadim Ermolayev · 2013
This paper reports on our experiments evaluating the improvement of OntoElect approach to ontology refinement in the case study with the ICTERI Scope Ontology. OntoElect is based on collecting and assessing the commit- ment of domain knowledge stakeholders for ontological refinement offerings. We report the improvement with respect to the previous results. Our first ex- periment evaluates the change in the quality of ontology due to the involvement of domain knowledge stakeholders in semantic annotation of their papers, com- pared to the previous study in which the annotations were done by knowledge engineers. Our second experiment checks if the result became better after the introduction of the automated term extraction from the full texts of ICTERI pa- pers. Extracted terms are compared to the manual annotations. The results of the experiments verify the proposed ontology changes and are further used for the ICTERI Scope ontology refinement.