DocumentCode :
145220
Title :
Research on Ontology-Based Chinese Semantic Retrieval Model
Author :
Qingling Chang ; Yuanchun Zhou ; Shiting Xu ; Jianhui Li ; Baoping Yan
Author_Institution :
Univ. of Chinese Acad. of Sci., Beijing, China
Volume :
1
fYear :
2014
fDate :
10-13 March 2014
Firstpage :
302
Lastpage :
307
Abstract :
This paper introduces the Chinese Semantic Retrieval model and the key technology. It initially points out the core idea of mapping natural language to RDF triples. Based on the Language Technology Platform dependency relationship, it classifies the Chinese question. Then, the article outlines the concrete method of mapping Chinese question to SPARQL query with examples. At last, it implements the system and gives the retrieval result, which decreases the irrelevant searching return compared with the tradition information retrieval method based on keyword matching.
Keywords :
natural language processing; ontologies (artificial intelligence); pattern matching; query processing; Chinese question; RDF triples; SPARQL query; information retrieval method; keyword matching; language technology platform dependency relationship; natural language mapping; ontology-based Chinese semantic retrieval model; Grammar; Information retrieval; Natural languages; Ontologies; Resource description framework; Semantics; Syntactics; classification; dependency relationship; mapping rule; semantic retrieval; sparql;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/CSCI.2014.59
Filename :
6822126
Link To Document :
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