An informetric algorithm for evaluation of search vocabularies
DOI:
https://doi.org/10.54886/scire.v1i2.1042Abstract
Informetric evaluation of a retrieval vocabulary in order ot find a methodology to alert the user of noise and silences. This is to be done before retrieving information, ensuring in this way better retrieval results. First, a vocabulary of terms is built. Thereafter, synonyms are added, merging in a unique file descriptors and equivalent terms. Then, an information retrieval model is achived using the logarithm NAT=[LOGe{ relations into and among terms }]. That is, the quantity of infomation, NAT, evaluated by means of the natural algorithm: 3 means the optimal, 5 or 4 mean uncertainty (noise), 2 and 1 not identified relations (silence).Downloads
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Copyright (c) 1995 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.
