| Abstract [eng] |
In this thesis, the Information System prototype was developed for automated populating OWL 2 ontology with individuals. For using ontologies in semantic search, ontology individuals are created via semantically annotating Web sites and linking fragments of Web content with ontology individuals and their property assertions. However, such individuals often are unreliable. For improvement of semantic search, reliable individuals should be created in ontology. In this thesis, the database model is created on the base of Semantics of Business Vocabulary and Business Rules (SBVR) for storing reliable ontology data. Three alternatives for creating reliable data about ontology individuals are proposed: manual input; extraction of textual documents; extraction from reliable Internet sources. Extraction from textual documents or Internet is performed using templates and scripts, which automatically insert data into the database. Ontology population with data, stored in the created database, is automatically performed with scripts for inserting individuals and property assertions. The experimental investigation has shown the effectiveness of the proposed approach with respect to time resources and avoiding errors. Although the created prototype is only the proof of the approach, the database model and the idea can be used for further development. |
