Abstract
The article presents an algorithm we called Semantic Sieve applied for refining search results in text documents repository. The algorithm calculates so-called conceptual directions that enables interaction with the user and allows to narrow the set of results to the most relevant ones. We present the system where the algorithm has been implemented. The system also offers in the presentation layer clustering of the results into thematic groups. Preliminary evaluation indicates the proposed approach can be useful for precessing search results and serve as effective tool for improving retrieval with keywords.
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Szymański, J., Krawczyk, H., Deptuła, M. (2013). Retrieval with Semantic Sieve. In: Selamat, A., Nguyen, N.T., Haron, H. (eds) Intelligent Information and Database Systems. ACIIDS 2013. Lecture Notes in Computer Science(), vol 7802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36546-1_25
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DOI: https://doi.org/10.1007/978-3-642-36546-1_25
Publisher Name: Springer, Berlin, Heidelberg
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