Peng, Yefei
(2010)
Ontology Mapping Neural Network: An Approach to Learning and Inferring Correspondences Among Ontologies.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
An ontology mapping neural network (OMNN) is proposed in order to learn and infer correspondences among ontologies. It extends the Identical Elements Neural Network (IENN)'sability to represent and map complex relationships. The learning dynamics of simultaneous (interlaced) training of similar tasks interact at the shared connections of the networks. The output of one network in response to a stimulus to another network can be interpreted as an analogical mapping. In a similar fashion, the networks can be explicitly trained to mapspecific items in one domain to specific items in another domain. Representation layer helpsthe network learn relationship mapping with direct training method.The OMNN approach is tested on family tree test cases. Node mapping, relationshipmapping, unequal structure mapping, and scalability test are performed. Results showthat OMNN is able to learn and infer correspondences in tree-like structures. Furthermore, OMNN is applied to several OAEI benchmark test cases to test its performance on ontologymapping. Results show that OMNN approach is competitive to the top performing systems that participated in OAEI 2009.
Share
Citation/Export: |
|
Social Networking: |
|
Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
|
ETD Committee: |
|
Date: |
12 May 2010 |
Date Type: |
Completion |
Defense Date: |
9 April 2010 |
Approval Date: |
12 May 2010 |
Submission Date: |
6 April 2010 |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Institution: |
University of Pittsburgh |
Schools and Programs: |
School of Information Sciences > Information Science |
Degree: |
PhD - Doctor of Philosophy |
Thesis Type: |
Doctoral Dissertation |
Refereed: |
Yes |
Uncontrolled Keywords: |
learning; ontology mapping; analogy; neural network |
Other ID: |
http://etd.library.pitt.edu/ETD/available/etd-04062010-184159/, etd-04062010-184159 |
Date Deposited: |
10 Nov 2011 19:34 |
Last Modified: |
15 Nov 2016 13:38 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/6832 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |