Word-Space Approach To Case-Based Retrieval
Date Issued
2013
Author(s)
Abstract
This paper presents a strategy for medical articles retrieval, a
process also known as case-based retrieval. The proposed
strategy is a word-space approach and uses Terrier IR search
engine for indexing and retrieval. The medical articles were
indexed on different parts of their content to determine which
part provides best performance in indexing and retrieval. In
the retrieval phase, experiments with six different weighting
models were performed. The results show that the best
performance is achieved by indexing the whole content of the
articles (including the image captions) and by using the
BM25 weighting model in the retrieval phase.
process also known as case-based retrieval. The proposed
strategy is a word-space approach and uses Terrier IR search
engine for indexing and retrieval. The medical articles were
indexed on different parts of their content to determine which
part provides best performance in indexing and retrieval. In
the retrieval phase, experiments with six different weighting
models were performed. The results show that the best
performance is achieved by indexing the whole content of the
articles (including the image captions) and by using the
BM25 weighting model in the retrieval phase.
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