Alessio Gugliotta

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In this paper we describe IRS-III which takes a semantic broker based approach to creating applications from Semantic Web Services by mediating between a service requester and one or more service providers. Business organisations can view Semantic Web Services as the basic mechanism for integrating data and processes across applications on the Web. This(More)
objects, characterized by a signature, comprised of universes, functions, and relations. The universe or domain is a set of data containing partial functions and predicates (attributes and relations) which encapsulate the universe. Transition rules, in ASMs, are local functions which update the abstract states, and can be expressed as follows: f(t1, t2,(More)
In this paper, we propose a methodology for addressing trust in Semantic Web Services (SWS) - based applications. The aim is to enhance the capability-driven selection provided by current SWS frameworks with the introduction of trust-based selection criteria. We present an ontology - Web Services Trust Ontology (WSTO) - that models the context of a(More)
Context-awareness is highly desired across several application domains. <i>Semantic Web Services (SWS)</i> enable the automatic discovery of distributed Web services based on comprehensive semantic representations. However, although SWS technology supports the automatic allocation of resources for a given well-defined task, it does not entail the discovery(More)
We propose a semantically-enhanced architecture to address the issues of interoperability and service integration in e-government web information systems. An architecture for a life event portal based on Semantic Web Services (SWS) is described. The architecture includes loosely-coupled modules organized in three distinct layers: User Interaction,(More)
Context-awareness is a highly desired feature across several application domains. Semantic Web Services (SWS) technologies address context-adaptation by enabling the automatic discovery of distributed Web services for a given task based on comprehensive semantic representations. Whereas SWS technology supports the allocation of resources based on semantics,(More)
Context-awareness is highly desired, particularly in highly dynamic mobile environments. Semantic Web Services (SWS) address context-adaptation by enabling the automatic discovery of distributed Web services based on comprehensive semantic capability descriptions. Even though the appropriateness of resources in mobile settings is strongly dependent on the(More)
ion from Learning Data and Functionalities To abstract from existing learning data and content we consider a Web Service Layer. It operates on top of the data and exposes the functionalities appropriate to fulfill specific learning objectives. This first step enables a dynamic supply of appropriate learning data to suit a specific context and objective.(More)
In an emergency situation, relevant information about involved elements is required. This information ranges from demographic data, weather forecasts and sensor data, available transportation means, presence of helpful agents, land use and cover statistics or values, etc. Moreover, the emergency management process is dynamic as it involves several definite(More)
Semantic Web Services (SWS) aim to alleviate Web service limitations, by combining Web service technologies with the potential of Semantic Web. Several open issues have to be tackled yet, in order to enable a safe and efficient Web services selection. One of them is represented by trust. In this paper, we introduce a trust definition and formalize a model(More)