NDLI: Evaluation of Semantic Similarity across MeSH Ontology: A Cairo University Thesis Mining Case Study

Content Provider	IEEE Xplore Digital Library
Author	Ayeldeen, H. Hassanien, A.E. Fahmy, A.A.
Copyright Year	2013
Description	Author affiliation: Fac. of Comput. & Inf., Cairo Univ. Cairo, Cairo, Egypt (Fahmy, A.A.) \|\| Sci. Res. Group in Egypt (SRGE), Cairo Univ., Cairo, Egypt (Ayeldeen, H.; Hassanien, A.E.)
Abstract	Knowledge exaction and text representation are considered as the main concepts concerning organizations nowadays. The estimation of the semantic similarity between words provides a valuable method to enable the understanding of texts. In the field of biomedical domains, using Ontologies have been very effective due to their scalability and efficiency. The problem of extracting knowledge from huge amount of data is recorded as an issue in the medical sector. In this paper, we aim to improve knowledge representation by using MeSH Ontology on medical theses data by analyzing the similarity between the keywords within the theses data and keywords after using the MeSH ontology. As a result, we are able to better discover the commonalities between theses data and hence, improve the accuracy of the similarity estimation which in return improves the scientific research sector. Then, K-means cluster algorithm was applied to get the nearest departments that can work together based on medical ontology. Experimental evaluations using 4, 878 theses data set in the medical sector at Cairo University indicate that the proposed approach yields results that correlate more closely with human assessments than other by using the standard ontology (MeSH). Results show that using ontology correlates better, compared to related works, with the similarity assessments provided by experts in biomedicine.
Starting Page	139
Ending Page	144
File Size	520023
Page Count	6
File Format	PDF
ISBN	9781479926046
e-ISBN	9781479926053
DOI	10.1109/MICAI.2013.24
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-24
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantics Clustering algorithms Ontologies Educational institutions Data mining Medical diagnostic imaging
Content Type	Text
Resource Type	Article

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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
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