Abstract
In the world of modern digital libraries, the searching for juridical information of interest is a current and relevant problem. We approach this problem from the perspective that a new searching mechanism, specialized in the juridical area, will work better than standard solutions. We propose a specialized (or vertical) searching mechanism that combines information from a juridical thesaurus with information generated by a standard searching mechanism (the classic vector space model), using the framework of a Bayesian belief network. Our vertical searching mechanism is evaluated using a reference collection of 552,573 documents. The results show improvements in retrieval performance, suggesting that the study and development of vertical searching mechanisms is a promising research direction.
Partially supported by Brazilian CNPq scholarship grant 141294/2000-0.
Partially supported by Brazilian CNPq Individual Grant 300.188/95-1, Finep/MCT/CNPq Grant 76.97.1016.00 (project SIAM), and CNPq Grant 17.0435/01-6 (project I3DL).
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de Lourdes da Silveira, M., Ribeiro-Neto, B., de Freitas Vale, R., Tôrres Assumpção, R. (2003). Vertical Searching in Juridical Digital Libraries. In: Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2003. Lecture Notes in Computer Science, vol 2633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36618-0_35
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DOI: https://doi.org/10.1007/3-540-36618-0_35
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