Document (#27229)

Author

Eijk, C.C. van der
Mulligen, E.M. van
Kors, J.A.
Mons, B.
Berg, J. van den

Title

Constructing an associative concept space for literature-based discovery

Source

Journal of the American Society for Information Science and technology. 55(2004) no.5, S.436-444

Year

2004

Abstract

Scientific literature is often fragmented, which implies that certain scientific questions can only be answered by combining information from various articles. In this paper, a new algorithm is proposed for finding associations between related concepts present in literature. To this end, concepts are mapped to a multidimensional space by a Hebbian type of learning algorithm using co-occurrence data as input. The resulting concept space allows exploration of the neighborhood of a concept and finding potentially novel relationships between concepts. The obtained information retrieval system is useful for finding literature supporting hypotheses and for discovering previously unknown relationships between concepts. Tests an artificial data show the potential of the proposed methodology. In addition, preliminary tests an a set of Medline abstracts yield promising results.

Theme

Informetrie

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