Contextualizing a Knowledge Base by Approximation – A Case Study

Krzysztof Goczyła; Aleksander Waloszek; Wojciech Waloszek

doi:10.1007/978-3-319-06932-6_12

Contextualizing a Knowledge Base by Approximation – A Case Study

Abstract

Modular knowledge bases give their users opportunity to store and access knowledge at different levels of generality. In this paper we present how to organize a modular knowledge bases organized into contexts in which a user can express their knowledge in much simplified way, yet without losing its precision. The work is centered around the notion of approximation - i.e. reducing the arity of predicates used. The presentation is based on a case-study conducted with CongloS system within a large-scale national project.

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Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Published in:: Communications in Computer and Information Science no. 424, pages 112 - 123,
ISSN: 1865-0929
Title of issue:: 10th International Conference on Beyond Databases, Architectures and Structures (BDAS) strony 112 - 123
Language:: English
Publication year:: 2014
Bibliographic description:: Goczyła K., Waloszek A., Waloszek W..: Contextualizing a Knowledge Base by Approximation – A Case Study, W: 10th International Conference on Beyond Databases, Architectures and Structures (BDAS), 2014, ,.
DOI:: Digital Object Identifier (open in new tab) 10.1007/978-3-319-06932-6_12
Verified by:: Gdańsk University of Technology