Abstract
After a continuously development in on-line availability, most of the countries are close to reach the highest point of public services maturity. The future of e-Gov should now go through accessibility questions and m-Gov, providing a new set of user-centred services, personalized and based on alerts that could be programmed taking into account knowledge based in the localization of the user. In this article we will analyze the stage of e-Gov in Europe based in a report of the European Commission, which allows, the realization of a comparative analysis of the evolution occurred between 2004 and 2006 in the 28 countries part of the study. Following, we analyze the case of Portugal, pointing out some of the reasons to the success of the measures applied. Finally we project the future of e-Gov in terms of accessibility questions, platform access independence and user-centred services.

Abstract
In Portugal, e-Gov is considered to be a key feature in the process of continuously developing an Information Society becoming itself a vital process in the context of modernizing public administration. Its higher priority it's to improve the quality of public services through the use of ICT (Information and Communications Technology). Although some great examples, Portugal still presents some low values in the main measures of ICT, when compared to the majority of European countries, The low investment, a almost inexistence in ICT qualification and the reduced knowledge that enterprises and citizens have about e-Gov potentiality's, are some of the obstacles to a higher success of e-Gov. In this context, we consider important to verify, as they are going to be the futures employees of public administration, the knowledge of public administration high students have about e-Gov, what it's the importance they gave to it, what services they now, use and propose.

Abstract
Typically, search engines are low precision in response to a query, retrieving lots of useless web pages, and missing some other important ones. In this paper, we study the problem of the hierarchical clustering of web pages search results. In particular, we propose an architecture called FUSE [1], a meta-search engine that automatically builds clusters of related web pages embodying one meaning of the query. These clusters are then hierarchically organized and labeled with a phrase representing the key concept of the cluster and the corresponding web documents. The system which is a web-based interface (soon available at wise.di.ubi.pt), introduces some interesting new ideas, such as the pre-selection of the retrieved web pages, the capacity to statistically detect phrases within documents and the representation of documents based on their most relevant key concepts by using web content mining techniques. The final step of the system is supported by a graph-based overlapping clustering algorithm which groups the selected documents into a hierarchy of clusters.

Abstract

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Abstract
With the growing popularity of research in Temporal Information Retrieval (T-IR), a large amount of temporal data is ready to be exploited. The ability to exploit this information can be potentially useful for several tasks. For example, when querying "Football World Cup Germany", it would be interesting to have two separate clusters {1974,2006} corresponding to each of the two temporal instances. However, clustering of search results by time is a non-trivial task that involves determining the most relevant dates associated to a query. In this paper, we propose a first approach to flat temporal clustering of search results. We rely on a second order co-occurrence similarity measure approach which first identifies top relevant dates. Documents are grouped at the year level, forming the temporal instances of the query. Experimental tests were performed using real-world text queries. We used several measures for evaluating the performance of the system and compared our approach with Carrot Web-snippet clustering engine. Both experiments were complemented with a user survey.