[provenance-challenge] CFP: Workshop on Traceability and Compliance of Semi-Structured Processes (TC4SP’10)
Aleksander Slominski
aslom at cs.indiana.edu
Tue Mar 30 01:15:34 BST 2010
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CALL FOR PAPERS
First International Workshop on Traceability and Compliance of
Semi-Structured Processes (TC4SP’10)
Held in Conjunction with BPM 2010,
The 8th International Conference Business Process Management
Hoboken, New Jersey, September 13, 2010
Background
Semi-structured processes are those business or scientific processes whose
lifecycle is not
fully driven by a formal process model. Often, an informal description of
the process is
available in the form of a process graph, flow chart or an abstract state
diagram, but the
execution is not completely controlled by a central entity (such as a
workflow engine), if
at all. Instead, a variety of IT and human centric mechanisms are used,
including email,
content management systems, web-based forms, custom applications or a
combination
thereof.
Examples of semi-structured processes are collaborative and case oriented
processes as
well as most end to end line of business processes in commercial
enterprises. Even when
there is a formally managed process in place, there are often exceptional
situations that
fall outside the purview of the workflow engine, making measuring compliance
against
desired business & regulatory policies difficult. In spite of the widespread
adoption of
BPM technology, semi-structured processes are commonplace in today’s
commercial and
governmental organizations.
Semi-structured processes, on the other hand, lack most of the advantages
provided by
business process management systems (BPMSs). In particular, one major
advantage of
process management is oversight through the inherent provenance of data and
actions.
Being able to answer the question 'Who did what when and how?' makes
processes
transparent and reproducible, supports compliance monitoring and root cause
analysis,
and provides the means for deep mining of activities and information.
The goal of this workshop is to investigate how to extend the oversight,
traceability and
compliance management of traditional BPMSs to semi-structured processes
through
techniques and algorithms to gather, correlate, analyze, and persist
provenance data of
processes execution. The workshop aims to bring together practitioners and
researchers
from different communities - such as business process management, scientific
workflow,
complex event and compliance monitoring, data and process mining - who share
an
interest in semi-structured processes. We encourage submissions that report
the current
state of research in the area and share practical experiences.
Topics
The list of topics that are relevant to this workshop includes the
following, but is not
limited to:
- Methodologies for capturing, querying and processing provenance, including
provenance of business process and scientific workflows.
- Management and implementation of compliance requirements.
- Provenance systems that enable traceability and compliance.
- Compliance and performance monitoring of collaborative processes.
- Legal audit support and root cause analysis.
- Data and process mining of provenance traces.
- Emerging standards and provenance models.
- Management and retention of process traces.
Paper submission
Two types of submissions will be accepted: full papers up to 12 pages
reporting
completed research, and short papers up to 6 pages reporting on-going and
preliminary
work. Authors are encouraged to plan for a demonstration of their work
during the
workshop. Papers should be submitted electronically in PDF format at:
http://www.easychair.org/conferences/?conf=tc4sp2010 .
The workshop proceedings will be published in the Springer Lecture Notes in
Business Information Processing series and submissions should use LNBIP
format
(see http://www.springer.com/series/7911 for details).
Important dates
Submissions due (Closed): May 21, 2010
Notification: Monday, June 30, 2010
Camera ready papers due: July 25, 2010
Workshop Date: September 13 2010, Hoboken, NJ, USA.
Organization
Francisco Curbera (IBM Research)
Juliana Freire (University of Utah)
Frank Leyman (University of Stuttgart)
Beth Plale (Indiana University)
Amit Sheth (Wright University)
Program committee
TBA
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