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Improving the Performance of Ontological Querying by using a Contextual Approach
Author(s) -
Wojciech Waloszek,
Aleksander Waloszek
Publication year - 2020
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2020.09.062
Subject(s) - computer science , information retrieval , artificial intelligence , data mining , natural language processing
In the paper we present the results of experiment we performed to determine whether a contextual approach may be used to increase the performance of querying a knowledge base. For the experiments we have used a unique setting where we put much effort in developing a contextual and a non-contextual ontology which are as much close counterparts as possible. To achieve this we created a contextual version of a non-contextual ontology and reformulated the set of competency questions to reflect the contextual structure of the newly created knowledge base. The results of the experiment strongly suggest that using contexts might be advantageous for improving performance, and also show the further ways of development of the approach.

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