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