PrOnto Ontology Refinement Through Open Knowledge Extraction

摘要

This paper presents a refinement of PrOnto ontology using a validation test based on legal experts' annotation of privacy policies combined with an Open Knowledge Extraction algorithm. Three iterations were performed, and a final test using new privacy policies. The results are 75% of detection of concepts and relationships in the policy texts and an increase of 29% in the accuracy using the new refined version of PrOnto enriched with SKOSXL lexicon terms and definitions.