DocumentCode :
3520750
Title :
A Framework Enabling Semantic Search in Health Service Ecosystems
Author :
Dong, Hai ; Hussain, Farookh Khadeer ; Chang, Elizabeth
Author_Institution :
Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ. of Technol., Perth, WA, Australia
fYear :
2010
fDate :
1-3 Nov. 2010
Firstpage :
235
Lastpage :
242
Abstract :
The health service ecosystem is a sub domain of the service ecosystem, which is an ecological view of the health service domain. Due to the importance and the speciality of health services, service consumers have rigorous requirements regarding the efficiency of health service search engines. However, as most health service consumers do not have enough domain knowledge, their service queries are sometimes not able to denote their actual service requests. Moreover, we find that the existing health service search engines lack the ability to help the consumers to disambiguate their service queries, which may impede the efficiency of the search engines. In this paper, by means of semantic search technologies, we design a framework enabling user query disambiguation in the health service ecosystem. The framework embodies a health service ontology for domain knowledge-based user query disambiguation and an ECBR algorithm for accurate service retrieval. In order to evaluate the framework, we build a system prototype and perform a series of experiments on it. Conclusions from the evaluation are drawn in the paper.
Keywords :
knowledge based systems; medical information systems; ontologies (artificial intelligence); query processing; search engines; ECBR algorithm; health service ecosystem; health service ontology; health service search engine; knowledge-based user query disambiguation; semantic search; service consumer; service retrieval; Health Service Ecosystems; Semantic Search; Service Ecosystems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics Knowledge and Grid (SKG), 2010 Sixth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8125-5
Electronic_ISBN :
978-0-7695-4189-1
Type :
conf
DOI :
10.1109/SKG.2010.34
Filename :
5663514
Link To Document :
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