A Search Relevance Algorithm for Weather Effects Products
Memorandum rept. for Dec 2005-Oct 2006
NAVAL RESEARCH LAB WASHINGTON DC
Pagination or Media Count:
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 searchrelevance 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.
- Numerical Mathematics
- Computer Programming and Software