NDLI: Extracting hierarchical concept with cloud transform

Content Provider	IEEE Xplore Digital Library
Author	Hui Meng Shu liang Wang Liping Xiao
Copyright Year	2012
Description	Author affiliation: Institute of Chinese Electrical System Engineering, Beijing 100840, China (Liping Xiao) \|\| Institute of Beijing Information Technology, 100093, China (Hui Meng) \|\| School of Software, Beijing Institute of Technology, 10081, China (Shu liang Wang)
Abstract	It is essential to extract concepts hierarchy by hierarchy in conceptual ontology. In this paper, a method is proposed to extract hierarchical concept from database with cloud transform. By approaching the original data distribution, cloud transform makes the quantitative data changed into a series of qualitative concepts portrayed by atomic clouds on the bottom level. With the increasing level, the elemental clouds are synthesized level by level, the amount of which become less and less. On the top level, a cloud is generalized. Thus a hierarchical tree on the concepts comes into being by extracting the qualitative concepts from quantitative data level by level. As well as human thinking, it is a pan-concept tree because the boundary between two neighboring cloud-concepts in the same hierarchy is indeterminate for the data randomness and its fuzziness belonging to the concept. In order to get more reasonable hierarchical concepts when the concepts in a lower level are generalized up to the concepts in a higher level, the magnitude coefficient of each cloud droplet is further treated. Finally, to test the effectiveness and efficiency, a case is studied on the dataset of car price. The results show that the proposed method is able to reasonably generate a hierarchical pan-tree for a dataset as human being, and the ontology from these concepts further gives a better specification of the conceptualization.
Starting Page	347
Ending Page	352
File Size	1380993
Page Count	6
File Format	PDF
ISBN	9781467323109
e-ISBN	9781467323116
DOI	10.1109/GrC.2012.6468677
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hierarchical Concept Cloud Transform Transforms Ontologies Helium Concept Extraction
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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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