1,721,008 research outputs found

    OWL-S Atomic services composition with SWRL rules

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    This paper presents a method for encoding OWL-S atomic processes by means of SWRL rules and composing them using a backward search planning algorithm. A description of the preliminary prototype implementation is also presented

    Incremental Learning of Daily Routines as Workflows in a Smart Home Environment

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    Smart home environments should proactively support users in their activities, anticipating their needs according to their preferences. Understanding what the user is doing in the environment is important for adapting the environment's behavior, as well as for identifying situations that could be problematic for the user. Enabling the environment to exploit models of the user's most common behaviors is an important step toward this objective. In particular, models of the daily routines of a user can be exploited not only for predicting his/her needs, but also for comparing the actual situation at a given moment with the expected one, in order to detect anomalies in his/her behavior. While manually setting up process models in business and factory environments may be cost-effective, building models of the processes involved in people's everyday life is infeasible. This fact fully justifies the interest of the Ambient Intelligence community in automatically learning such models from examples of actual behavior. Incremental adaptation of the models and the ability to express/learn complex conditions on the involved tasks are also desirable. This article describes how process mining can be used for learning users’ daily routines from a dataset of annotated sensor data. The solution that we propose relies on a First-Order Logic learning approach. Indeed, First-Order Logic provides a single, comprehensive and powerful framework for supporting all the previously mentioned features. Our experiments, performed both on a proprietary toy dataset and on publicly available real-world ones, indicate that this approach is efficient and effective for learning and modeling daily routines in Smart Home Environment

    Unsupervised author identification and characterization

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    Author identification is a hot topic, especially in the Internet age. Following our previous work in which we proposed a novel approach to this problem, based on relational representations that take into account the structure of sentences, here we present a tool that computes and visualizes a numerical and graphical characterization of the authors/texts based on several linguistic features. This tool, that extends a previous language analysis tool, is the ideal complement to the author identification technique, that is based on a clustering procedure whose outcomes (i.e., the authors’ models) are not human-readable. Both approaches are unsupervised, which allows them to tackle problems to which other state-of-the-art systems are not applicable

    DOMINUSplus – An Intelligent Framework for Document Management

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    Store, process and manage collections of different types of documents is one of the needs of most organizations, especially universities. The management of libraries, scientific conferences, research projects are just some of the practical cases that require advanced solutions. DOMINUSplus is an open project born with the aim of harmonizing the Artificial Intelligence approaches developed at the LACAM laboratory with the research on Digital Libraries in a general software backbone for document processing and management, extensible with ad-hoc solutions for specific problems and context (such as universities)

    P2P support for OWL-S discovery

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    The discovery of Web services is often in uenced by the rigid structure of registries containing their XML description. In recent years some methods that replace the traditional UDDI registry with Peer To Peer networks for the creation of catalogs of Web services have been proposed in order to make this structure exible and usable. This paper proposes a dierent view by placing the semantic description of services as content of P2P networks and showing that all the needed information for an ecient Web service discovery is already contained in its OWL-S description

    An Integrated Management System for Multimedia Digital Library

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    Contemporary libraries have changed quickly their social role and function due to the proliferation and diversification of multimedia digital documents, becoming complex networks able to support communication and collaboration among the various distributed users communities. Technologies have not grown in step with the needs generated by this new approach, except in specific areas and implications. Hence the need to design an integrated digital library architecture that covers by advanced techniques the whole spectrum of functionality, without which the same social and cultural function of a modern digital library is at risk. This paper briefly describes an architecture that aims to bridge this gap, bringing together the experience, expertise and software systems developed by university and companies researchers. A prototype of the system is under development
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