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. The work outlined in this paper pertains to searching and ranking weather effects products from the EVIS (Environmental Visualization) data provider. EVIS was a data provider to a Federated Search engine in the NCES (Network Centric Enterprise Services) 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 at 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
Oct 01, 2009
Accession Number
ADA567984

Entities

People

  • Donald E. Brown
  • Justin Nevitt

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

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

Fields of Study

  • Computer science

Readers

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