NDLI: An information content based partitioning method for the anatomical ontology matching task

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An information content based partitioning method for the anatomical ontology matching task

Content Provider	ACM Digital Library
Author	Tran, Dac-Thanh Ngo, Duy-Hoa Do, Phan-Thuan
Abstract	Anatomy ontology matching has been attracting a lot of interest and attention of researchers, especially, biologists, medics and geneticists. This is a very difficult task due to the huge size of anatomy ontologies. Despite the fact that many ontology matching tools have been proposed so far, most of them achieve good results only for small size ontologies. In a recent survey [22], the authors pointed out that the large scale ontology matching problem still presents a real challenge because it is a time consuming and memory intensive process. According to state of the art works, the authors also state that partitioning large scale ontology is a promising solution to deal with this issue. Therefore, in this paper, we propose a partitioning approach to break up the large matching problem into smaller matching subproblems. At first, we propose a method to semantically split anatomy ontology into groups called clusters. It relies on a specific method for computing semantic similarities between concepts based on both their information content on anatomy ontology, and a scalable agglomerative hierarchical clustering algorithm. We then propose a filtering method to select the possible similar partitions in order to reduce the computation time. The experimental analysis demonstrates that our approach is capable of solving the scalability ontology matching problem and encourages us to the future works.
Starting Page	272
Ending Page	281
Page Count	10
File Format	PDF
ISBN	9781450312325
DOI	10.1145/2350716.2350757
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-08-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Information content Matching Anatomy ontology Partitioning Clustering
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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