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Semantic-based enterprise attention management systems

Published: 01 June 2009 Publication History

Abstract

We present a novel approach for proactive support of user in knowledge intensive organisations. Whilst once information was a scarce resource, nowadays all kinds and qualities of information are available. However human attention has become a scarce resource which is difficult to manage and support. Our attention management system proactively supports the user in dealing with processes, activities and tasks defined by a semantically-enhanced business workflow. Moreover the user is supported in reacting on changes respecting the users' context and preferences. The approach is based on an expressive attention model, which is realized by combining context-aware ECA rules with ontologies and an appropriate preference model. We present the system's architecture, describe its main components and present early evaluation results. Our system is particularly deployed in a use case related to eGovernment. Nevertheless the architecture we present is general, and may be used in all kind of information and knowledge systems where handling the user attention is of an important interest.

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  1. Semantic-based enterprise attention management systems

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    cover image ACM Other conferences
    SBPM '09: Proceedings of the 4th International Workshop on Semantic Business Process Management
    June 2009
    69 pages
    ISBN:9781605585130
    DOI:10.1145/1944968
    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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    Published: 01 June 2009

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    Author Tags

    1. ECA rules
    2. attention management
    3. semantic egovernment
    4. semantic technologies

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