DocumentCode :
1832341
Title :
Knowledge base representation for HIV victims in the world
Author :
Kamal, Md Sarwar ; Nimmy, Sonia Farhana ; Chowdhury, Linkon
Author_Institution :
Dept. of CSE, Univ. of Chittagong, Chittagong, Bangladesh
fYear :
2012
fDate :
1-2 March 2012
Firstpage :
1
Lastpage :
5
Abstract :
From the birth of the world a large number people have been suffering fatal life killing disease AIDS for various reason. Actually the problem belongs to the people by the people due to the lack of awareness. One the major problem for HIV victims is that it kills their life span by time being unfortunately. In this research, we focus on linked data of semantic web and to achieve the knowledgebase construction for HIV victims. It is obvious that HIV victims are also part of human being and they have full right to get all the support and facilities from all other human. Earlier we have had put concentration on design the linked data for them. We improve our previous work to achieve efficiency on knowledgebase representation. Manipulating our collected data in a structured way by XML parsing on JAVA platform. Our proposed system generates n-triple by considering parsed data. We proceed on an ontology is constructed by Protege which containing information about names, places, awards. A straightforward approach of this work to make the knowledgebase representation of HIV victims more reliable on the web. Our experiments show the effectiveness of knowledgebase construction. Complete knowledgebase construction of HIV victims show the efficient output. The complete knowledgebase construction helps to integrate the raw data in a structured way. The outcome of our proposed system contains the complete knowledgebase. Our experimental results show the strength of our system by retrieving information from ontology in reliable way.
Keywords :
Java; XML; diseases; knowledge based systems; medical computing; ontologies (artificial intelligence); semantic Web; AIDS; HIV victims; JAVA platform; Protege; XML parsing; data parsing; knowledge base representation; n-triple generation; ontology; semantic Web linked data; Educational institutions; Integrated circuits; Measurement; Ontologies; Semantic Web; Semantics; Taxonomy; Linked data; N-triples; Ontology; Web Semantics; XML parsing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students' Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4673-1516-6
Type :
conf
DOI :
10.1109/SCEECS.2012.6184737
Filename :
6184737
Link To Document :
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