Querying ontologies on the base of semantics of business vocabulary and business rules
The thesis was published by
Å ukys, Algirdas,
in June 2017,
Kaunas University of Technology.
Abstract:
Due to the capability to understand the intent of the user’s queries and even complex questions, semantic search returns results that are more precise to compare with traditional, keyword based search systems. The solution, created in this work, allows questioning ontologies in natural language. The main advantages of the solution are capability to question ontologies in different languages and question complex ontologies, when the structure of ontology and the formulation of question do not correspond directly.