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Enhancing process-adaptation capabilities with web-based corporate radar technologies

Published: 27 October 2008 Publication History

Abstract

Dynamic business processes are capable of adapting themselves to internal events but lack the ability to adapt to external events. Corporate radars are capable of mining the Web for external events of interest to produce structured representations of these events but are not capable of adapting themselves based on these events. In this position paper, we advocate and propose a system that integrates these two approaches to enhance the capability of process-adaptation engines, greatly increasing the scope of events they can respond to.

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  • (2021)Leveraging Dynamicity and Process Mining in Ad-Hoc Business ProcessInnovations in Smart Cities Applications Volume 410.1007/978-3-030-66840-2_56(741-757)Online publication date: 13-Feb-2021

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  1. Enhancing process-adaptation capabilities with web-based corporate radar technologies

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      cover image ACM Other conferences
      OBI '08: Proceedings of the first international workshop on Ontology-supported business intelligence
      October 2008
      95 pages
      ISBN:9781605582191
      DOI:10.1145/1452567
      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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      New York, NY, United States

      Publication History

      Published: 27 October 2008

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      Author Tags

      1. corporate radars
      2. dynamic business process
      3. dynamic process adaptation

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      • (2021)Leveraging Dynamicity and Process Mining in Ad-Hoc Business ProcessInnovations in Smart Cities Applications Volume 410.1007/978-3-030-66840-2_56(741-757)Online publication date: 13-Feb-2021

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