AlvisIR

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 a response containing 20,000 annotations.