The explosive growth and widespread accessibility of medical information on the Internet
have led to a surge of research activity in a wide range of scientific communities including …

BACKGROUND: Previous studies examining characteristics of Internet health information
seekers do not distinguish between those who only seek for themselves, and surrogate …

The unstructured nature of clinical narratives makes them complex for automatically
extracting information. Feature learning is an important precursor to document classification …

Abstract Classical or traditional Information Retrieval (IR) approaches rely on the word-
based representations of query and documents in the collection. The specification of the …

The success of distributed and semantic-enabled systems relies on the use of up-to-date
ontologies and mappings between them. However, the size, quantity and dynamics of …

In this article, we propose a new approach for indexing biomedical documents based on a
possibilistic network that carries out partial matching between documents and biomedical …

In the fast moving world, users cross over large amount of data for their daily life. Due to the
misinterpretation of the context, user cannot retrieve the proper context or failure to retrieve …

With the explosive growth of biomedical information volumes, there is obviously an
increasing need for developing effective and efficient tools for indexing and retrieval …

The partial match between biomedical documents and controlled vocabularies allows to find
in the documents more terms variants than those existing in the dictionaries. However, it …

This paper proposes a new approach for indexing biomedical documents based on the
combination of a Possibilistic Network and a Vector Space Model. This later carries out …