Rita Butkienė

Searching the Web by Meaning: A Case Study of Lithuanian News Websites

The daily growth of unstructured textual information created on the Web raises significant challenges when it comes to serving user information needs. On the other hand, evolving Semantic Web technology has influenced a wide body of research towards meaning-based text processing and information retrieval methods, that go beyond classical keyword-driven approaches. However, most of the work in the field targets English as the primary language of interest. Hence, in this paper we present a very first attempt to process unstructured Lithuanian text at the level of ontological semantics. We introduce an ontology-based semantic search framework capable of answering structured natural Lithuanian language questions, discuss its language-dependent design decisions and draw some observations from the results of a recent case study carried out over domain-specific Lithuanian web news corpus.

SBVR Based Natural Language Interface to Ontologies

The semantic search over ontologies allows user to retrieve more relevant results comparing with ordinary keyword based search systems. This type of search system is powered by ontologies and the most convenient interface to ontologies is natural language interface. In this paper, we present multilingual SBVR based natural language interface to ontologies, which allows writing questions based on concepts of SBVR vocabulary and transforms them to SPARQL queries using model transformations. The solution can also be used for questioning, when question mapping to ontology is not straightforward. The experimental evaluation of correctness using Mooney Natural Language Learning Data showed results, similar to other natural language interface solutions, answering questions in English and Lithuanian languages. DOI: http://dx.doi.org/10.5755/j01.itc.46.1.13998

Verification Rules of Computerized Information System Model with Respect to Data Resource Processing

This paper presents the set of verification rules to detect faults in specification of model of computerized information system. Computerized information system model is specified using Enterprise modeling approach, which integrates static and dynamic dependencies. Typical commu- nication action loop is a basic construct of Enterprise modeling approach. Actions, which process data resources of computerized information system, are analyzed.