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. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Da Silveira, M. D. L., Ribeiro-Neto, B., De Freitas Vale, R., & Tôrres Assumpção, R. (2003). Vertical searching in juridical digital libraries. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2633, 491–501. https://doi.org/10.1007/3-540-36618-0_35
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