Semantic-based document management system

Houssam Haitof, Alexander Krivutsenko, Michael Gerndt

Research output: Contribution to journalArticlepeer-review

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 documents 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.

Original languageEnglish
Pages (from-to)140-146
Number of pages7
JournalInternational Journal of Reasoning-based Intelligent Systems
Volume3
Issue number3-4
DOIs
StatePublished - Nov 2011

Keywords

  • Document management systems
  • Knowledge discovery
  • Ontologies
  • Semantic technologies

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