Computer and Modernization

Previous Articles    

Distributed Semantic Retrieval Method for Water Information Resources Directory Services

  

  1. College of Computer and Information, Hohai University, Nanjing 211100, China
  • Received:2014-10-31 Online:2015-02-28 Published:2015-03-06

Abstract:

Addressing the demand of high recall rate and realtime for the resource discovery services in water information resources directory services, a distributed metadata
retrieval method (DSRM) based on semantic extension is proposed. It constructs the domain ontology with “Official Document Thesaurus of Water Resources”, achieves the
extension of the specialized vocabulary and the common vocabulary by combining with the semanteme based on Hownet, defines the semantic inference rules and the vocabulary
correlativity, and supports the extension of the query vocabulary by combining with the inference machine. Meanwhile, DSRM defines the threshold of similarity and the selection
method, which can prevent the “semantic drift”, to ensure the searching accuracy. The searching results are ranked according to the combination of the semantic similarity and
the text similarity. The MapReducebased parallelization reform of the index creation and the query processing improves the processing efficiency of retrieval.

Key words: query expansion, semantic retrieval, distributed, inference, water information resources directory

CLC Number: