Terrier 3.5

A probabilistic Java toolkit for building search engines.

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What's new in Terrier 3.5:

  • Indexing:
  • TR-117: Improve fields support by SimpleXMLCollection
  • TR-120: Error loading an additional MetaIndex structure (contributed by Javier Ortega, Universidad de Sevilla)
  • TR-106: Pipeline Query/Doc Policy Lifecycle (contributed by Giovanni Stilo, University degli Studi dell'Aquila and Nestor Laboratory - University of Rome "Tor Vergata")
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LICENSE TYPE:
MPL (Mozilla Public License) 
USER RATING:
2.3/5 22
DEVELOPED BY:
University of Glasgow
HOMEPAGE:
ir.dcs.gla.ac.uk
CATEGORY:
ROOT \ Information Management
Terrier project is a probabilistic Java toolkit for building search engines.

Terrier is software for the rapid development of Web, intranet, and desktop search engines.

More generally, it is a modular platform for building large-scale information retrieval applications, providing indexing and probabilistic retrieval functionalities.

It comes with a desktop search application.

Terrier has various cutting-edge features including parameter-free probabilistic retrieval approaches (such as Divergence from Randomness models), automatic query expansion/re-formulation methodologies, and efficient data compression techniques.

Terrier comes with a powerful proof-of-concept Desktop search application [Screenshots], and full TREC capabilities including the ability to index, query and evaluate the standard TREC collections, such as AP, WSJ, WT10G, .GOV and .GOV2.

Terrier is written in Java [Requirements] and has been successfully used for adhoc retrieval, Web search and cross-language retrieval, in a centralised or distributed setting.

Currently, it is also being used for running various applications.

Last updated on June 17th, 2011

feature list

#rapid development #desktop search #modular platform #Terrier #rapid #development #desktop

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