This paper describes a new method for cross-lingual textual entailment (CLTE) detection based on machine translation (MT). We use sub-segment translations from different MT systems available online as a source of cross-lingual knowledge. In this work we describe and evaluate…

Previous work on an interactive system aimed at helping non-expert users to enlarge the monolingual dictionaries of rule-based machine translation (MT) systems worked by discarding those inflection paradigms that cannot generate a set of inflected word forms validated by the…

When building Hypermedia/Web Applications, (different) designers are often faced with the same problems over and over again. Those recurring problems soon yield elegant solutions, which can be conveniently described as design patterns. In this paper we present two patterns for…

In this article we describe our experience in the development of a personalizable dissemination model for the Miguel de Cervantes Digital Library’s Web-based newsletter-service, which combines adaptive with adaptable personalization techniques, being capable or ranking news according to navigation-inferred preferences…

An audience driven philosophy for web site design takes the different target audiences as an explicit starting point, and organizes the basic navigation structure accordingly. However, for the designer it is not always easy, or sometimes even impossible, to assess…

In this paper, we describe the process to extend TERSEO
system to Italian using an automatic porting to this new
language, as it was performed to English., In questo report viene descritto il processo in base al
quale TERSEO, un…

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…

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…