DocumentCode :
1768456
Title :
The semantic alignment of H-FOAF, DOMAIN and DBLP ontologies with link open data for a health social network
Author :
Fareedi, Abid Ali ; Hassan, Shoaib
Author_Institution :
Dept. of Comput. Sci., Jonkoping Univ., Jonkoping, Sweden
fYear :
2014
fDate :
22-25 Oct. 2014
Firstpage :
1508
Lastpage :
1513
Abstract :
The aim of this study is to make collaborative networks of practitioners and researchers especially for healthcare community by using semantic web standards such as FOAF, etc. The proposed collaborative ontology modeling helps to resolve semantic alignment between distributed developed vocabularies/ontologies with domain ontology (cardiac-process) by using collaborative methodology. This collaborative ontology mechanism helps to find specific personnel who are involved in certain tasks, activities with assigned roles and involved in some research projects and attached with health-oriented social community. This approach also helps to publish domain factual knowledge with some link open data (LOD) resources, e.g. DBpedia for reusability.
Keywords :
groupware; health care; medical computing; ontologies (artificial intelligence); semantic Web; DBLP ontologies; DBpedia; DOMAIN ontologies; H-FOAF ontologies; LOD resources; cardiac-process; collaborative networks; collaborative ontology mechanism; collaborative ontology modeling; domain factual knowledge; domain ontology; health social network; health-oriented social community; healthcare community; link open data resources; semantic Web standards; semantic alignment; vocabularies; Computational modeling; Ontologies; Semantics; DBLP; FOAF; Link Open Data; OWL; SIOC; SPARQL;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location :
Seoul
ISSN :
2093-7121
Print_ISBN :
978-8-9932-1506-9
Type :
conf
DOI :
10.1109/ICCAS.2014.6987801
Filename :
6987801
Link To Document :
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