Title: Semantic-based document management system

Authors: Houssam Haitof; Alexander Krivutsenko; Michael Gerndt

Addresses: Faculty of Informatics (I10), Technische Universität München, Boltzmannstr. 3, Garching 85748, Germany. ' Faculty of Informatics (I10), Technische Universität München, Boltzmannstr. 3, Garching 85748, Germany. ' Faculty of Informatics (I10), Technische Universität München, Boltzmannstr. 3, Garching 85748, Germany

Abstract: In this paper, we present the work towards ORSIS, an ontology-based personal document management system which uses a reasoning engine to allow for knowledge discovery and inference. This work also presents the potentials of knowledge representation technologies, their performance and applicability for personal document management systems. As part of ORSIS, we also have developed simple but powerful query language which allows executing selection request with different joint criteria. Appropriate grammar has been developed and parser/lexer code was implemented. Users have all the necessary interface features to provide complex queries or to build search request by using appropriate dialogs.

Keywords: semantic technologies; document management systems; ontologies; knowledge discovery; personal documents; reasoning engines; knowledge representation; knowledge inference.

DOI: 10.1504/IJRIS.2011.043538

International Journal of Reasoning-based Intelligent Systems, 2011 Vol.3 No.3/4, pp.140 - 146

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 04 Nov 2011 *

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