Searching legal information: from thesauri to Artificial Intelligence
DOI:
https://doi.org/10.54886/scire.v18i1.3942Keywords:
Information retrieval. Legal information. Natural language. Semantic expansion. Artificial IntelligenceAbstract
The evolution of search technologies in electronic legal information, along its 25 years of existence, is reviewed. Special attention is given to those developed by the R & D team of Wolters Kluwer Spain, which are based on natural language search with semantic expansion and advanced algorithms for the presentation of results by relevance, and have been at the forefront of the technology in this field worldwide. Recent studies on user behavior show the need for further progress in these developments to solve the complex problems detected, involving the improvement of the search engines with new and enhanced artificial intelligence techniques.
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Copyright (c) 2012 Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
© 1996- . Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.
