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Conceptual Modeling of Events for Active Information Systems

Conceptual Modeling of Events for Active Information Systems

Salvatore T. March, Gove N. Allen
Copyright: © 2009 |Pages: 12
ISBN13: 9781605661445|ISBN10: 1605661449|ISBN13 Softcover: 9781616925659|EISBN13: 9781605661452
DOI: 10.4018/978-1-60566-144-5.ch014
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MLA

March, Salvatore T., and Gove N. Allen. "Conceptual Modeling of Events for Active Information Systems." Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications, edited by Vijayan Sugumaran, IGI Global, 2009, pp. 261-272. https://doi.org/10.4018/978-1-60566-144-5.ch014

APA

March, S. T. & Allen, G. N. (2009). Conceptual Modeling of Events for Active Information Systems. In V. Sugumaran (Ed.), Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications (pp. 261-272). IGI Global. https://doi.org/10.4018/978-1-60566-144-5.ch014

Chicago

March, Salvatore T., and Gove N. Allen. "Conceptual Modeling of Events for Active Information Systems." In Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications, edited by Vijayan Sugumaran, 261-272. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-144-5.ch014

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Abstract

Active information systems participate in the operation and management of business organizations. They create conceptual objects that represent social constructions, such as agreements, commitments, transactions, and obligations. They determine and ascribe attributes to both conceptual and concrete objects (things) that are of interest to the organization. Active information system infer conclusions based on the application of socially constructed and mutable rules constituting organizational policies and procedures that govern how conceptual and concrete objects are affected when defined and identified events occur. The ontological foundations for active information systems must include constructs that represent concrete and conceptual objects, their attributes, and the events that affect them. Events are a crucial component of conceptual models that represent active information systems. The representation of events must include ascribed attributes representing data values inherent in the event as well as rules defining how conceptual and concrete objects are affected when the event occurs. The state-history of an object can then be constructed and reconstructed by the sequence of events that have affected it. Alternate state-histories can be generated based on proposed or conjectured rule modifications, enabling a reinterpretation of history. Future states can be predicted based on proposed or conjectured events and event definitions. Such a conceptualization enables a parsimonious mapping between an active information system and the organizational system in which it participates.

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