Automatic Retrieval of Recorded Information

Automatic Annotation and Information Retrieval

Textual information extraction, and particularly the extraction of information from web-based text, requires the annotation of a great number of documents very quickly, using standard categories: syntactical, grammatical (identifying tenses and aspects), lexical (the identification of " transfer " verbs, " donation " verbs, " localization " verbs …) and communicative categories (identifying rel...

Automatic Thesaurus Construction for Information Retrieval

The Thesaurus, in information retrieval, represents one of the cardinal points of a system, since neither indexing quality nor retrieval strategy sophistication are able to remedy deficiencies of the Thesaurus used. In principle, the Thesaurus is a collection of concepts which are more or less important for the subject field of the document collection. Usually the mere list of the terms represe...

Automatic Content Analysis in Information Retrieval

Public Transport Ontology for Passenger Information Retrieval

Passenger information aims at improving the user-friendliness of public transport systems while influencing passenger route choices to satisfy transit user’s travel requirements. The integration of transit information from multiple agencies is a major challenge in implementation of multi-modal passenger information systems. The problem of information sharing is further compounded by the multi-l...

Automatic Detection of Thesaurus relations for Information Retrieval Applications

Is it possible to discover semantic term relations useful for thesauri without any semantic information? Yes, it is. A recent approach for automatic thesaurus construction is based on explicit linguistic knowledge , i.e. a domain independent parser without any semantic component, and implicit linguistic knowledge contained in large amounts of real world texts. Such texts include implicitly the ...