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Rule responder: RuleML-based agents for distributed collaboration on the pragmatic web

Published: 22 October 2007 Publication History

Abstract

The Rule Responder project (responder.ruleml.org) extends the Semantic Web towards a Pragmatic Web infrastructure for collaborative human-computer networks. These allow semi-automated agents - with their individual (semantic and pragmatic) contexts, decisions and actions - to form corporate, not-for-profit, educational, or other virtual teams or virtual organizations. The project develops an effective methodology and an efficient infrastructure to interchange and reuse knowledge (ontologies and rules). Such knowledge plays an important role for (semi-automatically and contextually) transforming data, deriving new conclusions and decisions from existing knowledge, and acting according to changed situations or occurred (complex) events. Ultimately, this might put AI theories on distributed multiagent systems into larger-scale practice and might form the basis for highly flexible and adaptive Web-based service-oriented/service-component architectures (SOAs/SCAs).

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        cover image ACM Conferences
        ICPW '07: Proceedings of the 2nd international conference on Pragmatic web
        October 2007
        104 pages
        ISBN:9781595938596
        DOI:10.1145/1324237
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Publication History

        Published: 22 October 2007

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        Author Tags

        1. complex event processing
        2. coordination
        3. multi agent systems
        4. pragmatic agent web
        5. prova
        6. reaction RuleML
        7. representation languages
        8. rule interchange format

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        • (2017)OntoMaven - Maven-Based Ontology Development and Management of Distributed Ontology RepositoriesSynergies Between Knowledge Engineering and Software Engineering10.1007/978-3-319-64161-4_12(251-273)Online publication date: 17-Sep-2017
        • (2016)Modeling and Enactment of Business Agents Using JasonProceedings of the 9th Hellenic Conference on Artificial Intelligence10.1145/2903220.2903253(1-10)Online publication date: 18-May-2016
        • (2015)HR^2International Journal of Agent Technologies and Systems10.4018/IJATS.20150701047:3(67-85)Online publication date: 1-Jul-2015
        • (2015)Einordnung und Abgrenzung des Corporate Semantic WebsCorporate Semantic Web10.1007/978-3-642-54886-4_2(11-21)Online publication date: 27-May-2015
        • (2015)Aspect OntoMaven - Aspect-Oriented Ontology Development and Configuration with OntoMavenBusiness Information Systems Workshops10.1007/978-3-319-26762-3_17(185-196)Online publication date: 2-Dec-2015
        • (2014)Reaction RuleML 1.0 for Rules, Events and Actions in Semantic Complex Event ProcessingRules on the Web. From Theory to Applications10.1007/978-3-319-09870-8_1(1-21)Online publication date: 2014
        • (2013)Pragmatic Aspects of Collaborative Problem Solving: Towards a Framework for Conceptualizing Dynamic KnowledgeEnterprise Information Systems10.1007/978-3-642-40654-6_25(410-426)Online publication date: 2013
        • (2012)An Ontological Model for Representing Pragmatic Aspects of Collaborative Problem SolvingProceedings of the 2012 IEEE 21st International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises10.1109/WETICE.2012.60(444-449)Online publication date: 25-Jun-2012
        • (2012)Learning from othersArtificial Intelligence10.1016/j.artint.2012.04.002187-188(90-114)Online publication date: 1-Aug-2012
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