A framework for improving the performance of ontology matching techniques in semantic web
Other Title(s)
نظام لتحسين أداء تقنيات مطابقة الأنطولوجيا في الويب الدلالي
Dissertant
Thesis advisor
Comitee Members
Ujan, Arafat
Salamah, Walid Khalid
Abu al-Suud, Salih Mustafa
University
Princess Sumaya University for Technology
Faculty
King Hussein Faculty for Computing Sciences
Department
Department of Computer Sciences
University Country
Jordan
Degree
Master
Degree Date
2011
English Abstract
The semantic web is an extension of the World Wide Web (WWW) with new technologies that enable computers to process the data on the web and to extract knowledge from these data.
The development of the semantic web is based on ontology.
Ontology provides a knowledge representation in a specific 'domain.
Sometimes we can find different ontologies that describe the same domain, this leads to a problem called heterogeneity problem between ontologies.
This thesis is about ontology matching process that solves the heterogeneity problems between different ontologies.
Ontology matching is the process of finding correspondences between semantically related entities of different ontologies.
Some ontologies may contain thousands of entities which make the ontology matching process very complex in terms of space and time requirements, because there will be a very large search space to find correspondences between ontologies.
We have designed a framework that reduces the search space by removing entities (classes, properties) that have less probability of being matched.
In order to achieve this goal we have introduced a matching strategy that uses multi matching techniques such as string, structure, and linguistic matching techniques.
This strategy is based on some important features of ontologies, such as Resource Description Framework (RDF) statements and class hierarchies.
The results obtained from this new proposal matching framework have indicated that the proposed matching framework produces good quality matching results in a low time requirement and a low search space in comparisons with other matching frameworks.
It saves from (43% - 53%) of the search space, and saves on the time requirement from (38% - 45%).
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
75
Table of Contents
Table of contents.
Abstract.
Chapter One : introduction.
Chapter Two : semantic web and ontologies.
Chapter Three : ontology matching techniques.
Chapter Four : proposed ontology matching framework.
Chapter Five : proposed framework evaluation.
Chapter Six : conclusion and future work.
References.
American Psychological Association (APA)
Shafaamiri, Kamil H.. (2011). A framework for improving the performance of ontology matching techniques in semantic web. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-307146
Modern Language Association (MLA)
Shafaamiri, Kamil H.. A framework for improving the performance of ontology matching techniques in semantic web. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology. (2011).
https://search.emarefa.net/detail/BIM-307146
American Medical Association (AMA)
Shafaamiri, Kamil H.. (2011). A framework for improving the performance of ontology matching techniques in semantic web. (Master's theses Theses and Dissertations Master). Princess Sumaya University for Technology, Jordan
https://search.emarefa.net/detail/BIM-307146
Language
English
Data Type
Arab Theses
Record ID
BIM-307146
