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| Content Provider | ACM Digital Library |
|---|---|
| Author | van Lessen, Tammo Cekov, Luchesar Wetzstein, Branimir Pedrinaci, Carlos Dimitrov, Marin Lambert, Dave |
| Abstract | Business Activity Monitoring (BAM) aims to support the real-time analysis of business processes in order to improve the speed and effectiveness of business operations. Providing a timely, integrated high-level view on the evolution and well-being of business activities within enterprises constitutes a highly valuable analytical tool for monitoring, managing and hopefully enhancing businesses. However, the degree of automation currently achieved cannot support the level of reactivity and adaptation demanded by businesses. We argue that the fundamental problem is that moving between the business level and the IT level is insufficiently automated and suggest an extensive use of semantic technologies as a solution. In particular, we present SENTINEL a Semantic Business Process Monitoring tool that advances the state of the art in BAM by making extensive use of semantic technologies in order to support the integration and derivation of business level knowledge out of low-level audit trails generated by IT systems. |
| Starting Page | 1 |
| Ending Page | 12 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781605582191 |
| DOI | 10.1145/1452567.1452568 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-10-27 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Semantic business process management Business activity monitoring Business process analysis |
| Content Type | Text |
| Resource Type | Article |
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