Michele Ruta

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Reasoning engines are largely used in resource discovery and matchmaking scenarios where, given a request, they are able to provide a list of compatible items arranged in relevance order. A significant added value is the possibility to explain match outcomes in order to obtain information for modifying or refining early queries. Though the feasibility of(More)
The rise of offshoring of intermediate inputs raises important questions for commercial policy. Do the distinguishing features of offshoring introduce novel reasons for trade policy intervention? Does offshoring create new problems of global policy cooperation whose solutions require international agreements with novel features? In this paper we provide(More)
Web Applications are becoming more and more widespread and efficient, then an increase of their reliability is now strongly required. Hence methods to support design and automatically perform validation of a Web Application (WA) could be helpful. In this paper we present WAVer, a prototype tool for performing the verification of a WA design by means of(More)
Home and building automation (HBA) trends toward the Ambient Intelligence paradigm, which aims to autonomously coordinate and control appliances and subsystems in a given environment. Nevertheless, HBA is based on an explicit user-home interaction and basically enables static and predetermined scenarios. This paper proposes a more flexible multi-agent(More)
We present and motivate a formal approach and algorithms for semantic matchmaking in an e-commerce framework. The proposed solution exploits nonmonotonic inferences for explanation services in the query-retrieval-refinement loop, and defines some guidelines to compute semantic-based ranking of offers.
The paper surveys some relevant issues related to data management in pervasive environments. Particularly, it focuses on the compression of semantic annotations for building so called Semantic Web of Things. An approach is proposed to achieve good compression ratios, to maintain compression effectiveness and finally to query compressed data without(More)
In-vehicle electronic equipment aims to increase safety, by detecting risk factors and taking/suggesting corrective actions. This paper presents a knowledge-based framework for assisting a driver via her PDA. Car data extracted under On Board Diagnostics (OBD-II) protocol, data acquired from PDA embedded micro-devices and information retrieved from the Web(More)
The Semantic Web of Things (SWoT) is a novel paradigm, blending the Semantic Web and the Internet of Things visions. Due to architectural and performance issues, it is currently impractical to use available reasoners for processing semantic-based information and perform resource discovery in pervasive computing scenarios. This paper presents a prototypical(More)
The Semantic Web and Internet of Things visions are converging toward the so-called Semantic Web of Things (SWoT). It aims to enable smart semantic-enabled applications and services in ubiquitous contexts. Due to architectural and performance issues, it is currently impractical to use existing Semantic Web reasoners. They are resource consuming and are(More)
The Semantic Web of Things (SWoT) vision aims to provide more advanced resource management and discovery w.r.t. standard Internet of Things architectures, by means of the integration of knowledge representation and reasoning techniques originally devised for the Semantic Web. This paper proposes a novel SWoT framework, based on a backward-compatible(More)