Abstract
Many music works produced in the last century still exist only as original manuscripts or as photocopies. Preserving them entails their digitalization and consequent accessibility in a digital format easy-to-manage which encourages browsing, retrieval, search and analysis while providing a generalized access to the digital material. The manual process to carry out this task is very time consuming and error prone. Automatic optical music recognition (OMR) has emerged as a partial solution to this problem. However, the full potential of this process only reveals itself when integrated in a system that provides seamless access to browsing, retrieval, search and analysis. We address this demand by proposing a modular, flexible and scalable framework that fully integrates the abovementioned functionalities. A web based system to carry out the automatic recognition process, allowing the creation and management of a music corpus, while providing generalized access to it, is a unique and innovative approach to the problem. A prototype has been implemented and is being used as a test platform for OMR algorithms.

Abstract
Many music works produced in the past are currently available only as original manuscripts or as photocopies. Preserving them entails their digitalization and consequent accessibility in a machine-readable format, which encourages browsing, retrieval, search and analysis while providing a generalized access to the digital material. Carrying this task manually is very time consuming and error prone. While optical music recognition (OMR) systems usually perform well on printed scores, the processing of handwritten music by computers remains below the expectations. One of the fundamental stages to carry out this task is the detection and subsequent removal of staff lines. In this paper we integrate a general-purpose, knowledge-free method for the automatic detection of staff lines based on stable paths, into a recently developed staff line removal toolkit. Lines affected by curvature, discontinuities, and inclination are robustly detected. We have also developed a staff removal algorithm adapting an existing line removal approach to use the stable path algorithm at the detection stage, Experimental results show that the proposed technique outperforms well-established algorithms. The developed algorithm will now be integrated in a web based system providing seamless access to browsing, retrieval, search and analysis of submitted scores.

Abstract
An Adaptive Object-Model (AOM) is an architectural pattern based upon a dynamic meta-modeling technique where the object model of the system is explicitly defined as data to be interpreted at run-time. The object model encompasses the full specification of domain objects, states, events, conditions, constraints and business rules. Several design patterns, that have before been documented, describe a set of good-practices within this domain. This paper approaches data and metadata evolution issues in the context of AOMs, by describing three additional patterns - History of Operations, System Memento and Migration. They establish ways to track, version, and evolve information, at the several abstraction levels that may exist in an AOM. © 2008 is held by the author(s).

Abstract
It is understood that Collaborative Work plays an important role in today's organizations lift cycle. On the other hand, any decision that may involve a set of decision makers is, by itself, quite complex. It is under this umbrella that it will be presented the VirtualECare project, that contemplates art intelligent multi-agent system able to monitor, interact and serve its customers in need of (health)care services. We will center our attention oil the system group decision and argumentation modules, which use idea generation techniques and resort to argumentation to exchange and justify belief and choice. At the end, a prototype will be presented.

Abstract
Collaborative Work plays an important role in today's organizations and normally in areas where decisions must be made. However, any decision that involves a collective or group of decision makers is, by itself, complex. In this work we present the VirtualECare project, built in terms of an intelligent multi-agent system able to monitor, interact and serve its customers, which are, normally, in need of care services, and assisted with tools based on open standards, like OSGi an R-OSGi.

Abstract
Researchers are giving special attention to innovative healthcare projects in order to reduce medical service costs and to deal with the population ageing. The Virtual e-Care was born taking those goals in mind. An intelligent and proactive system has been prototyped, Supporting group decision making techniques, idea generation, argumentation and the quantification of the quality of information. In this paper it is simulated a virtual Assisted Living Environment, based in a solid agent-based architecture. Special attention is given to the monitoring system.