Computer and Modernization

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A Water Conservancy Metadata Searching and Sharing Platform Based on ElasticSearch

  

  1. College of Computer and Information, Hohai University, Nanjing 211100, China
  • Received:2014-10-09 Online:2015-02-28 Published:2015-03-06

Abstract:

With the development of water conservancy industry informatization, the massive, multisource and heterogeneous data sharing and discovery become a hot research area.
This paper presents the design and implementation of a metadata search platform based on ElasticSearch, puts forward a solution of water conservancy heterogeneous data and
builds the index on massive data. The multitenant access control policy is used to ensure the consistency and security of user data. The Rest service encapsulate index to
provide searching and multigranularity sharing. Application shows that the platform can ensure users accurately and efficiently to obtain the water conservancy industry data,
save the water conservancy construction cost of unit search system.

Key words: metadata search, multitenant access control model, distributed, RESTful service, heterogeneous data

CLC Number: