DocumentCode :
128745
Title :
The research and application of ontology-based information retrieval
Author :
Wulamu, Aziguli ; Yuchao Zhou ; Dezheng Zhang ; Hui Li ; Rui, Haike
Author_Institution :
Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2014
fDate :
9-11 June 2014
Firstpage :
1980
Lastpage :
1984
Abstract :
Traditional Chinese medicine (TCM) is the study of human physiology and pathology, and the prevention, diagnosis, and treatment of human diseases. The traditional Chinese medicine knowledge system is complex and its structure is huge. Therefore, it faces considerable obstacles in terms of knowledge sharing, exchanging and interfusing. Traditional information retrieval technology has made remarkable achievements in the Internet field. But information has defects of incomplete and high redundancy in the field of traditional Chinese medicine. Therefore constructing ontology-based knowledge base of traditional Chinese medicine domain is proposed and the information retrieval system based on ontology is developed. Firstly this paper introduces the present situation of information retrieval and expounds the relevant theories of ontology. Then the domain ontology of traditional Chinese medicinal construction is mainly introduced and the related techniques of information retrieval are analyzed and studied in detail, including query information processing, reasoning with the Jena, calculation of concepts correlation and sorting algorithms. Finally, with analysis and retrieval system of ancient texts of traditional Chinese medicine, the technology of information retrieval based on ontology is sufficiently validated.
Keywords :
inference mechanisms; medicine; ontologies (artificial intelligence); query processing; sorting; text analysis; Jena; ancient text analysis; concepts correlation; domain ontology; ontology-based information retrieval; query information processing; reasoning; sorting algorithms; traditional Chinese medicine; Cognition; Correlation; Information retrieval; Knowledge based systems; Medical diagnostic imaging; Ontologies; information retrieval; knowledge base; ontology; traditional Chinese medicine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4316-6
Type :
conf
DOI :
10.1109/ICIEA.2014.6931493
Filename :
6931493
Link To Document :
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