DocumentCode
2450135
Title
Fabrication of Ontology for Security in Health Care Systems
Author
Indumathi, J. ; Uma, G.V.
Author_Institution
Dept. of Comput. Sci. & Eng., Anna Univ., Chennai
fYear
2008
fDate
July 28 2008-Aug. 1 2008
Firstpage
537
Lastpage
538
Abstract
Given the widespread intimidation state of affairs, there is a gripping want to enlarge architectures, algorithms, and protocols to apprehend a trustworthy network infrastructure. In order to attain this aspiration, the foremost and leading step is to develop an ample perceptive of the security threats and existing solutions as stated in this paper. A way of building ontologies that proceeds in a bottom-up fashion is presented, defining concepts as clusters of concrete XML objects. Clusters are being generated, which are formed based on the structure of the input XML documents. The learning domain is a more general concept of security and health care system. On today´s global information infrastructure, manual knowledge extraction is often not an option due to the sheer size and the high rate of change of available information. A bottom-up method for ontology extraction and maintenance intended at impeccably harmonizing current ontology design practice, where, as a rule, ontologies are designed top-down.
Keywords
XML; health care; knowledge acquisition; ontologies (artificial intelligence); security of data; XML; health care systems; knowledge extraction; ontology; security; trustworthy network infrastructure; Clustering algorithms; Computer applications; Data mining; Data security; Fabrication; Iterative algorithms; Medical services; Merging; Ontologies; XML; Clusters; Formal Concept Analysis; OWL; Ontology; Software Wrappers.; concept hierarchy; semi-automatic lattice;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications, 2008. COMPSAC '08. 32nd Annual IEEE International
Conference_Location
Turku
ISSN
0730-3157
Print_ISBN
978-0-7695-3262-2
Electronic_ISBN
0730-3157
Type
conf
DOI
10.1109/COMPSAC.2008.199
Filename
4591616
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