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- item-1 hasContent krystyna-milian.
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- 96 creator andriy-nikolov.
- 96 creator enrico-motta.
- 96 creator keerthi-thomas.
- 96 creator mathieu-daquin.
- 96 type InProceedings.
- 96 label "Realizing Networks of Proactive Smart Products".
- 96 sameAs 96.
- 96 abstract "The sheer complexity and number of functionalities embedded in many everyday devices already exceed the ability of most users to learn how to use them effectively. An approach to tackle this problem is to introduce ‘smart’ capabilities in technical products, to enable them to proactively assist and co-operate with humans and other products. In this paper we provide an overview of our approach to realizing networks of proactive and co-operating smart products, starting from the requirements imposed by real-world scenarios. In particular, we present an ontology-based approach to modeling proactive problem solving, which builds on and extends earlier work in the knowledge acquisition community on problem solving methods. We then move on to the technical design aspects of our work and illustrate the solutions, to do with semantic data management and co-operative problem solving, which are needed to realize our functional architecture for proactive problem solving in concrete networks of physical and resource-constrained devices. Finally, we evaluate our solution by showing that it satisfies the quality attributes and architectural design patterns, which are desirable in collaborative multi-agents systems.".
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- 96 title "Realizing Networks of Proactive Smart Products".
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- item-1 hasContent enrico-motta.
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- 97 creator azam-seil-sepour.
- 97 creator eva-blomqvist.
- 97 creator valentina-presutti.
- 97 type InProceedings.
- 97 label "Ontology Testing - Methodology and Tool".
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- 97 abstract "Ontology engineering is lacking methods for verifying that ontological requirements are actually fulfilled by an ontology. There is a need for practical and detailed methodologies and tools for carrying out testing procedures and storing data about a test case and its execution. In this paper we first describe a methodology for conducting ontology testing, as well as three examples of this methodology for testing specific types of requirements. Next, we describe a tool that practically supports the methodology. We conclude that there is a need to support users in this crucial part of ontology engineering, and that our proposed methodology is a step in this direction.".
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- 1 creator ladislav-hluchy.
- 1 creator marek-ciglan.
- 1 creator martin-seleng.
- 1 creator michal-laclavik.
- 1 creator stefan-dlugolinsky.
- 1 type InProceedings.
- 1 label "Emails as Graph: Relation Discovery in Email Archive".
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- 1 abstract "In this paper, we present an approach for representing an email archive in form of a network, capturing the communication among users and relations between entities extracted from the textual part of the email messages. We showcase the method on the Enron email corpus, from which we extract various entities and a social network. Extracted entities are organized in a graph including email connected with named entities (NE) extracted from emails such as people, email addresses, telephone numbers. Edges in the graph denote relations between NEs, representing occurrence in same email part, paragraph, sentence or composite NE. We study mathematical properties of the graph structure created by the proposed approach and we describe our hands-on experience with the processing of such structure. Enron Graph corpus contains a few millions of nodes and it is a large corpus for experimenting with various graph-querying techniques, e.g. graph traversing or spread of activation. Due to its size, the exploitation of traditional graph processing libraries might be problematic as that keep the whole structure in the memory. We describe our experience with the management of such data and with the relation discovery among extracted entities. The described experience might be valuable for practitioners and highlights several research challenges.".
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- 1 keyword "social networks".
- 1 title "Emails as Graph: Relation Discovery in Email Archive".
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- item-1 hasContent michal-laclavik.
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