In collaborative service-based health data sharing environments, participating services may host different sets of data about the same individuals, identified by some common properties. Each organization in such environments (e.g., testing labs, research institutes, etc.) manages it’s data access and usage through a specialized Web service end point through which users can submit queries. For i...

We investigate the complexity of a variety of normal-form transformations for extended context-free grammars, where by extended we mean that the set of right-hand sides for each nonterminal in such a grammar is a regular set. The study is motivated by the implementation project GraMa which will provide a C++ toolkit for the symbolic manipulation of context-free objects just as Grail does for re...

We investigate the complexity of a variety of normal-form transformations for extended context-free grammars, where by extended we mean that the set of right-hand sides for each nonterminal in such a grammar is a regular set. The study is motivated by the implementation project GraMa which will provide a C++ toolkit for the symbolic manipulation of context-free objects just as Grail does for re...

Some Italian sentences related to linguistic phenomena largely known and recently discussed by many computational linguists are discussed in the framework of AT:~. They offer certain difficulties which seem to suggest a substantial revision of the ATN formalism. The theoretical assumptions and an experimental implementation of such a revision are presented, together with examples. }:any related...

Spectrum agility (SA) is a novel way of improving spectrum utilization efficiency and making greater bandwidth available to network applications. Despite its advantages, the fundamental operations (e.g., periodic spectrum sensing) involved in realizing SA can also adversely affect application performance. We propose Context-Aware Spectrum Agility (CASA), which uses application hints together wi...

Most existing context reasoning approaches implicitly assume that contexts are precise and complete. This assumption cannot be held in pervasive computing environments, where contexts are often imprecise and incomplete due to unreliable connectivity, user mobility and resource constraints. To this end, we propose an approach called CRET: Context Reasoning using extended Evidence Theory. CRET ap...

This paper introduces a novel, interactive and exploratory, approach to information retrieval (search engines) based on clustering. Presented method allows users to change the clustering structure by applying a free-text clustering context query that is treated as a criterion for document-to-cluster allocation. Exploration mechanisms are also delivered by rede ning the interaction scenario in w...

Traditionally, the subject of cartography has been geographic data, while information visualization has dealt with abstract, non-spatial information. With the ever increasing amount of data harvested worldwide, more and more of this data includes both geographic and abstract information at the same time. Efficient visualization of this data calls for the combination of maps with techniques for ...