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