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Partitioning Ontologies for Aligning Large Ontologies.pdf (1.29 MB)
ETD Abstract Container
Abstract Header
Partitioning Ontologies for Aligning Large Ontologies
Author Info
Pereira, Sunny Lucas
ORCID® Identifier
http://orcid.org/0000-0002-9014-4758
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=miami1509636763469297
Abstract Details
Year and Degree
2017, Master of Computer Science, Miami University, Computer Science and Software Engineering.
Abstract
Ontologies, a critical component in fields such as biomedical information, healthcare, e-commerce, and the Semantic Web, sometimes require mappings between them for interoperability. Ontology alignment (OA) is the process of finding mappings between the concepts of two different ontologies of the same domain. This research investigates the partitioning/clustering of ontologies into smaller blocks for the alignment task. An advantage is to allow aligning smaller modules of the large ontologies so that OA systems unable to complete the alignment between the whole ontologies may do so between their smaller modules. The Ontology Alignment Evaluation Initiative competition’s large biomedical ontologies track is used for evaluation. The partitioning algorithms are implemented in the OA system LogMap. LogMap is then used to both create ontology modules from the partitions and perform alignment between the ontology modules. FCA-Map, unable to complete many tasks in this track, is also used. The results of this evaluation are reported and analyzed.
Committee
Valerie Cross, Dr (Advisor)
DJ Rao, Dr (Committee Member)
Mike Zmuda, Dr (Committee Member)
Subject Headings
Computer Science
Keywords
Ontology, Ontology Matching, Partitioning Large Ontologies
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Citations
Pereira, S. L. (2017).
Partitioning Ontologies for Aligning Large Ontologies
[Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1509636763469297
APA Style (7th edition)
Pereira, Sunny.
Partitioning Ontologies for Aligning Large Ontologies.
2017. Miami University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=miami1509636763469297.
MLA Style (8th edition)
Pereira, Sunny. "Partitioning Ontologies for Aligning Large Ontologies." Master's thesis, Miami University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1509636763469297
Chicago Manual of Style (17th edition)
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Document number:
miami1509636763469297
Download Count:
291
Copyright Info
© 2017, some rights reserved.
Partitioning Ontologies for Aligning Large Ontologies by Sunny Lucas Pereira is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Miami University and OhioLINK.