Integration of Recommendation and Partial Reference Alignment Algorithms in a Session based Ontology Alignment System

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 sessi...

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Bibliographic Details
Main Author: Qadeer, Shahab
Format: Others
Language:English
Published: Linköpings universitet, Institutionen för datavetenskap 2011
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-73135
Description
Summary: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.