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        <identifier>oai:drops-oai.dagstuhl.de:1150</identifier>
        <datestamp>2024-03-06T11:07:32Z</datestamp>
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          <dc:title>Ubiquitous Nature of Event-Driven Approaches: A Retrospective View</dc:title>
          <dc:creator>Chakravarthy, Sharma</dc:creator>
          <dc:creator>Adaikkalavan, Raman</dc:creator>
          <dc:subject>Complex event processing</dc:subject>
          <dc:subject>stream processing</dc:subject>
          <dc:subject>semantics</dc:subject>
          <dc:subject>evet-driven applications</dc:subject>
          <dc:description>This paper retrospectively analyzes the progress of event-based capability and&#13;
their applicability in various domains. Although research on event-based&#13;
approaches started in a humble manner with the intention of introducing&#13;
triggers in database management systems for monitoring application state and to&#13;
automate applications by reducing/eliminating user intervention, currently it&#13;
has become a force to reckon with as it finds use in many diverse domains. This&#13;
is primarily due to the fact that a large number of real-world applications are&#13;
indeed event-driven and hence the paradigm is apposite.&#13;
&#13;
In this paper, we briefly overview the development of the ECA (or&#13;
event-condition-action) paradigm. We briefly discuss the evolution of the ECA&#13;
paradigm (or active capability) in relational and Object-oriented systems. We&#13;
then describe several diverse applications where the ECA paradigm has been used&#13;
effectively. The applications range from customized monitoring of web pages to&#13;
specification and enforcement of access control policies using RBAC (role-based&#13;
access control). The multitude of applications clearly demonstrate the&#13;
ubiquitous nature of event-based approaches to problems that were not&#13;
envisioned as the ones where the active capability would be applicable.&#13;
Finally, we indicate some future trends that can benefit from the ECA paradigm.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Sharma Chakravarthy and Raman Adaikkalavan</dc:contributor>
          <dc:date>2007</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 7191, Event Processing (2007)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
          <dc:type>publishedVersion</dc:type>
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          <dc:identifier>doi:10.4230/DagSemProc.07191.10</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-11505</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07191.10</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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