AlvisIR

 
 
 
 
Technicolor
AlvisIR
 

Semantic document indexing and search engine framework

Target users and customers

Domain-specific communities, especially technical and scientific, willing to build search engines and information systems to manage documents with fine-grained semantic annotations.

Application sectors

Search engines and information systems development.

Description:

AlvisIR is a complete suite for indexing documents with fine-grained semantic annotations. The search engine performs a semantic analysis of the user query and searches for synonyms and sub-concepts.

AlvisIR has two main components:

1. the indexing tool and search daemon based on IndexDataʼs Zebra that supports standard CQL queries,

2. the web user interface featuring result snippets, query-term highlight, facet filtering and concept hierarchy browsing.

Setting up a search engine requires the semantic resources for query analysis (synonyms and concept hierarchy) and a set of annotated documents. AlvisIR is closely integrated with AlvisNLP and TyDI for document annotation and semantic resources acquisition respectively.

Indicative indexing time: 24mn for a corpus containing 5 million annotations.

Indicative response time: 18s for has response containing 20.000 annotations.

Technical requirements:

  • Linux platform
  • Perl
  • libxml2
  • Zebra indexing engine
  • PHP5

Conditions for access and use:

Sources available upon request. Free of use for academic institutions.

Q-Tech-INRA-ALVISIR-visuel

Partners:

  • Inra

Contact details:

Robert Bossy
Robert.Bossy@jouy.inra.fr

INRA MIG
Domaine de Vilvert
78352 Jouy-en-Josas cedex
France

http://bibliome.jouy.inra.fr