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DIGITAL.CSIC
Article . 2009 . Peer-reviewed
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Filología e informática. Epigrafía ugarítica

Authors: Galán Allué, José Manuel;

Filología e informática. Epigrafía ugarítica

Abstract

Las bases de datos relacionales ofrecen muchas opoitunidades para el desarrollo de las ciencias humanas. El investigador ha de buscar criterios de selección, clasificación y definición de los fenómenos estudiados. Una vez introducidos los datos, las relaciones entre ellas sceestablecen reproduciendo ei conocimiento del especialista y las diversas etapas que recorre su razonamiento cicntifico. Es necesario desarrollar aplicaciones adaptadas a las relaciones que cada especialidad establece entre sus datas. Como ejemplo en el campo de la Filología, se presenta la elaboración de un sistema de siglas, la introducción de colaciones y de connotaciones epigráficas de los textos ugariticos en el Banco de darosfilológicos semiticos noroccidentales.

[EN] Relational data bases offer opportunities far the development of Iluman Sciences. The researcher has to look for criteria to select, classify and define the phenomena under study. Once thc data have been intraduced, their relations reproduce the specialist's knowledge and the various stages which his scientiiic reasoning runs over. 1t is necessary to develop computer applications in accordance with the relationships that each field estahlishes with its data. This article presents, as an example within the field of Philology, the creation of a sigla system and the introduction of collations and epigraphic connotations of Ugaritic texts in the Banco de datos filológicos semiticos noroccidenroles.

Peer reviewed

Country
Spain
Related Organizations
Keywords

Informática, Filología semítica, Epigrafía

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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