Date of Publication

11-29-2005

Document Type

Master's Thesis

Degree Name

Master of Science in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Raymund C. Sison

Defense Panel Chair

Merlin Cruz

Defense Panel Member

Teresita C. Limoanco

Abstract/Summary

Ontologies allow machines to understand data and process information in the semantic web. However, because of the semantic webs distributed nature, data will inevitably come from different ontologies. These ontologies may describe similar domains using different terminologies or they may have overlapping domains. Ontology mapping using mapping tools help integrate and process information among ontologies. Current mapping tools focus mainly on simple 1:1 concept mapping of ontologies. This research proposed a mapping tool that discovers complex mappings such as 1:2 concept mapping, 1:2 attribute mapping and 1:1 attribute-relation mapping. The mapping tool was evaluated using 3 existing information retrieval metrics: precision, recall and f-measure. Results were satisfactory, with the tool performing better or at par with other tools in the discovery of simple mappings and with the tool discovering complex mappings that were previously not considered in other mapping techniques.

Keywords: ontologies, ontology mapping, mapping tools

Abstract Format

html

Language

English

Format

Electronic

Accession Number

CDTG003995

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

v, [77 leaves]

Keywords

Mappings (Mathematics); Semantics--Network analysis; WEB (Computer program language)

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