Influence of event representations on natural language querying interfaces to ontologies

Tracking #: 2823-4037

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Rita Butkienė
Algirdas Šukys
Linas Ablonskis
Rimantas Butleris

Responsible editor: 
Elena Demidova

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Full Paper
Information in knowledge graphs is ordinarily accessed via queries in formal languages. Formal languages, however, present an obstacle for non-technical users. To make semantic search more convenient, it is desirable to enable use of natural language queries. One of the difficulties encountered in developing natural language querying systems is a mismatch between the way how users express their questions in a natural language and the way how a knowledge graph is structured. Such a mismatch is called semantic gap. One of the solutions for bridging the semantic gap is to use SBVR vocabularies for translation between the natural and formal languages. In this article, we investigate how alternative variants of event representation schemas affect properties of natural language querying interface: the size of ontology schema and vocabulary, the performance of querying and data import, repository size and query complexity.
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