The Alvis suite

The Alvis suite is a text-mining and knowledge management suite, in use in scientific laboratories.

The Alvis suite has dedicated components:

• AlvisNLP, an automatic corpus processing engine that features a library with more than 50 processing modules: tokenization, POS-tagging, parsing, NER, machine-learning, etc.

• AlvisAE, an annotation editor for building training corpora for NER, entity normalization and relation extraction.

• AlvisIR, a semantic search engine builder.

• TyDI, a terminology and ontology editor.

Alvis is developped by the Bibliome team at the French National Institute for Agriculture, Food and Environment (INRAE).

Text mining

Text mining is a mature discipline that aims to extract high-quality and structured information from heterogeneous and unstructured resources. Current developments make use of Natural Language Processing techniques and Machine Learning algorithms to automatize the Information Extraction (IE). The text-mining methods makes extensive use of shared resources like terminologies and ontologies. The gap between text-mining and the Linked Data communities is narrowing!