Author, Institution: Algirdas Šukys, Kaunas University of Technology
Science Area, Field of Science: Technological Sciences, Informatics Engineering – 07T
Scientific Supervisor: Prof. Dr. Lina NEMURAITĖ (Kaunas University of Technology, Technological Sciences, Informatics Engineering, 07T).
Dissertation Defence Board of Informatics Engineering Science Field:
Prof. Dr. Robertas DAMAŠEVIČIUS Kaunas University of Technology, Technological Sciences, Informatics Engineering, 07T) – chairman;
Prof. Dr. Romas Baronas (Vilnius University,Technological Sciences, Informatics Engineering, 07T),
Assoc. Prof. Dr. Nikolaj Goranin (Vilnius Gediminas Technical University, Technological Sciences, Informatics Engineering, 07T),
Prof. Dr. Audrius Lopata (Vilnius University,Technological Sciences, Informatics Engineering, 07T),
Assoc. Prof. Dr. Raimundas Matulevičius (Tartu University, Technological Sciences, Informatics Engineering, 07T).
The Doctoral Dissertation is available at the libraries of Kaunas University of Technology (K. Donelaičio St. 20, Kaunas) and Vilnius Gediminas Technical University (Saulėtekio al. 14, Vilnius).
Annotation:
Traditional keyword based search engines often give redundant or incomplete results based on keyword matches, leaving a lot of work for users to find relevant information. The Semantic Web idea is based on understanding the meaning of published information and processing it by machines. The backbone of a Semantic Web is ontologies that store entities, representing real world objects (e.g., persons, organizations, events, etc.), their relations and properties. The search across ontologies is called semantic search. 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.
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 formulation of question do not correspond directly. To ensure usability, proven methods to help formulate and interpret question were used (i.e., guided interface, synonyms, automatic ambiguity resolving, clarification dialog, etc). The created solution can be used in Semantic Web and business applications.
