A Search Relevance Algorithm for Weather Effects Products

Abstract

This paper is concerned with providing the user with an efficient way to find information, specifically weather effects products within a Service Oriented Architecture (SOA). The work outlined in this paper pertains to searching and ranking weather effects products from the EVIS (Environmental Visualization) data provider. EVIS is a data provider to a Federated Search engine in the NCES (Network Centric Enterprise Service) ECB (Early Capabilities Baseline). Several off-the-shelf search solutions are examined and a custom search/relevance algorithm is discussed. This algorithm is based on the idea that searching weather products is more akin to a database search. The paper concludes with a look at cross-provider relevance and the complications that arise with a larger-scale, growing SOA.

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Document Details

Document Type
Technical Report
Publication Date
Dec 29, 2006
Accession Number
ADA460864

Entities

People

  • Donald E. Brown
  • Justin Nevitt

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Artificial Intelligence
  • Command And Control
  • Computing System Architectures
  • Databases
  • Department Of Defense
  • Information Operations
  • Information Systems
  • Information Warfare
  • Internet
  • Military Operations
  • Military Personnel
  • Military Research
  • Service Oriented Architecture
  • Standards
  • Websites

Fields of Study

  • Computer science

Readers

  • Atmospheric Science/Meteorology
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Systems Analysis and Design