| 23118 |
Creator |
20fbc73bc6c0afc98372cf072a54acc4 |
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Creator |
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| 23118 |
Creator |
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| 23118 |
Creator |
ext-c19926dccb7710e6c1d014c1ce7ea40d |
| 23118 |
Creator |
ext-4e05fc044554f895d129268bc6c254f6 |
| 23118 |
Creator |
ext-6d3f6966c2d6da547728ddebf650429e |
| 23118 |
Creator |
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| 23118 |
Creator |
ext-f5347025f3a2856416b212932e5cfdf4 |
| 23118 |
Date |
2007-11 |
| 23118 |
Is Part Of |
p03029743 |
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Is Part Of |
repository |
| 23118 |
abstract |
Semantic Business Process Management (SBPM) has been proposed as an extension of BPM
with Semantic Web and Semantic Web Services (SWS) technologies in order to increase
and enhance the level of automation that can be achieved within the BPM life-cycle.
In a nutshell, SBPM is based on the extensive and exhaustive conceptualization of
the BPM domain so as to support reasoning during business processes modelling, composition,
execution, and analysis, leading to important enhancements throughout the life-cycle
of business processes. An important step of the BPM life-cycle is the analysis of
the processes deployed in companies. This analysis provides feedback about how these
processes are actually being executed (like common control-flow paths, performance
measures, detection of bottlenecks, alert to approaching deadlines, auditing, etc).
The use of semantic information can lead to dramatic enhancements in the state-of-the-art
in analysis techniques. In this paper we present an outlook on the opportunities and
challenges on semantic business process mining and monitoring, thus paving the way
for the implementation of the next generation of BPM analysis tools. |
| 23118 |
authorList |
authors |
| 23118 |
presentedAt |
ext-080584409a782fe45fc2931a309fb9ff |
| 23118 |
status |
peerReviewed |
| 23118 |
uri |
http://data.open.ac.uk/oro/document/10932 |
| 23118 |
uri |
http://data.open.ac.uk/oro/document/14987 |
| 23118 |
uri |
http://data.open.ac.uk/oro/document/16329 |
| 23118 |
uri |
http://data.open.ac.uk/oro/document/5869 |
| 23118 |
volume |
4806 |
| 23118 |
type |
AcademicArticle |
| 23118 |
type |
Article |
| 23118 |
label |
de Medeiros, A. K. Alves; Pedrinaci, C. ; Aalst, W. M. P.; Domingue, J. ; Song, M.;
Rozinat, A,; Norton, B. and Cabral, L. (2007). An outlook on semantic business process
mining and monitoring. In: Lecture Notes in Computer Science, 4806 pp. 1244–1255. |
| 23118 |
label |
de Medeiros, A. K. Alves; Pedrinaci, C. ; Aalst, W. M. P.; Domingue, J. ; Song,
M.; Rozinat, A,; Norton, B. and Cabral, L. (2007). An outlook on semantic business
process mining and monitoring. In: Lecture Notes in Computer Science, 4806 pp. 1244–1255.
|
| 23118 |
Title |
An outlook on semantic business process mining and monitoring |
| 23118 |
in dataset |
oro |