Eufemia Tinelli

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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.
Competence Management calls for automated knowledge-based services in order to take full advantage from the know-how of a company. This paper presents an integrated semantic-based knowledge management system providing decision support services for several activities typical of competence management, including Core Competence evaluation, human resources(More)
In this paper we present a semantic-enhanced registry specifically devised for pervasive environments, able to cope with automated mobile service discovery and composition, compliant with OWL-S and with Semantic Web technologies. The proposed approach also deals with non-exact matches (computing an approximate result) and implements a dynamic substitution(More)
Among enterprise business processes, those related to HR management are characterized by conflicting issues: on one hand, the peculiarities of intellectual capital ask for rather expressive representation languages to convey as many facets as possible; on the other hand, such processes deal with huge amounts of resources to be managed. For handling HR(More)
We propose a novel object discovery framework integrating the application layer of Bluetooth and RFID standards. The approach is motivated and illustrated in an innovative u-commerce setting. Given a request, it allows an advanced discovery process, exploiting semantically annotated descriptions of goods available in the u-marketplace. The RFID data(More)
Automatically finding suitable candidates in an organization to compose a team able to solve a given task is a typical problem in large companies. In this paper we present a Description Logics approach to <i>Team Composition</i> based on candidates technical knowledge and on tasks descriptions, modeled according to a skills ontology in <i>ALE</i>(D). The(More)
The paper presents I.M.P.A.K.T. (Information Management and Processing with the Aid of Knowledge-based Technologies), a semantic-enabled platform for skills and talent management. In spite of the full exploitation of recent advances in semantic technologies, the proposed system only relies on standard SQL queries. Distinguishing features include: the(More)
The problem of finding commonalities characterizes several Knowledge Management scenarios involving collection of resources. The automatic extraction of shared features in a collection of resource descriptions formalized in accordance with a logic language has been in fact widely investigated in the past. In particular, with reference to Description Logics(More)
We present a general framework for resource discovery, composition and substitution in mobile ad-hoc networks, exploiting knowledge representation techniques. Key points of the proposed approach are: (1) reuse of discovery information at network layer in order to build a fully unified semantic-based discovery and routing framework; (2) use of semantic(More)
We present a semantic-based toolkit for the automated selection of Building-Blocks in SAP R/3, aimed at easing and improving Best Practices reusability. The automated selection process exploits Abduction-based Concept Covering in Description Logics to select Building Blocks and provides, if necessary, logic-based information on what remains unavailable.