En este artículo exploramos de qué manera el conocimiento semántico adquirido de manera automática a partir de grandes colecciones de texto permite mejorar el resultado de un analizador sintáctico. Para ello proponemos un método no supervisado que corrige dependencias de…

The consideration of personalization politics in the context of any web application modelling method obliges to the revision of its different modelling activities, which must be adapted to take into account the information regarding the user (usually gathered in a…

Conceptual Modelling approaches for the web need extensions to specify dynamic personalization properties in order to design more powerful web applications. Current approaches provide techniques to support dynamic personalization, usually focused on implementation details. This article presents an extension of…

En el presente trabajo se recogen las reglas de formación y los criterios de aplicación que se deberían llevar a cabo en cada situación para permitir la identificación automatizada de uno de los procesos de formación de palabras que tiene…

Web engineering software development is facing continuous changes in technology implementation. This involves analysts, developers and designers to provide extra effort in the design and maintenance of Web applications in order to adapt them to changes in requirements and implementation…

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data…

En este artículo, se presenta una propuesta con base en MDWE (Model Driven Web Engineering) para soportar trazabilidad (elemento-a-elemento) aplicando modelos weaving. El método de diseño Web A-OOH (Adaptive Object Oriented Hypermedia) es aplicado para representar el modelo de requisitos,…

El éxito en la búsqueda de conocimiento a partir de grandes cantidades de datos radica en la calidad de los mismos. Hasta ahora los aspectos de calidad de los datos se han enfocado principalmente a la limpieza de los datos:…

Geographic knowledge discovery (GKD) is the process of extracting information and knowledge from massive georeferenced databases. Usually the process is accomplished by two different systems, the Geographic Information Systems (GIS) and the data mining engines. However, the development of those…

Data mining is at the core of the knowledge discovery process. However, an initial preprocessing step is crucial for assuring reliable results within this process. Preprocessing of data is a time-consuming and non-trivial task since data quality issues should be…