NDLI: A scalable ontology reasoner via incremental materialization

Content Provider	IEEE Xplore Digital Library
Author	Rabbi, F. MacCaull, W. Faruqui, R.U.
Copyright Year	2013
Description	Author affiliation: StFX Centre for Logic & Inf., St. Francis Xavier Univ., Antigonish, NS, Canada (Rabbi, F.; MacCaull, W.) \|\| Dept. of Comput. & Software, McMaster Univ., Hamilton, ON, Canada (Faruqui, R.U.)
Abstract	Ontology based knowledge management systems have a lot of potential: their applicability ranges from artificial intelligence, e.g., for knowledge representation and natural language processing, to information integration and retrieval systems, requirements analysis, and, most lately, to semantic web applications and workflow management systems. However the huge complexity of reasoning for ontologies with large TBoxes and/or ABoxes is often a barrier to their applicability in real-world settings especially those which are time sensitive. Materialization is a promising solution for scalable reasoning over ontologies with large ABoxes as it derives the implicit knowledge of an ontology and makes it available in a relational database. Although materialization can reduce the query answering time of an ontology, it has limitations in applications which require frequent update to the knowledge base. To overcome this problem, we developed a tool for incremental materialization which identifies the fragment of the ontology that needs to be updated due to the ABox or TBox change, thereby reducing the complexity of the exhaustive forward chaining required.
Starting Page	221
Ending Page	226
File Size	498934
Page Count	6
File Format	PDF
ISBN	9781479910533
DOI	10.1109/CBMS.2013.6627792
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-20
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ontologies OWL Pain Cognition Relational databases
Content Type	Text
Resource Type	Article

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