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Integration of Recommendation and Partial Reference Alignment Algorithms in a Session based Ontology Alignment System
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

SAMBO is a system to assist users for alignment and merging of two ontologies (i.e. to find inter-ontology relationship). The user performs an alignment process with the help of mapping suggestions. The objective of the thesis work is to extend the existing system with new components; multiple sessions, integration of an ontology alignment strategy, recommendation system, integration of a system that can use results from previous sessions, and integration of partial reference alignment (PRA) that can be used to filter mapping suggestions. Most of the theoretical work existed, but it was important to study and implement, how these components can be integrated in the system, and how they can work together.

Place, publisher, year, edition, pages
2011. , 43 p.
Keyword [en]
Knowledge representation, Semantic Web, Ontology engineering, Ontology alignment
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-73135ISRN: LIU-IDA/LITH-EX-A--11/038—SEOAI: oai:DiVA.org:liu-73135DiVA: diva2:467127
Subject / course
Master's programme in Computer Science
Presentation
2011-09-30, Charles Babbage, B-Huset, Linkoping, 10:15 (English)
Uppsok
Technology
Examiners
Available from: 2011-12-19 Created: 2011-12-19 Last updated: 2011-12-20Bibliographically approved

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Qadeer, Shahab
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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  • en-US
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  • Other locale
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Output format
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