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AIBPS@ECAI 2014 : Artificial Intelligence meets Business Processes and Services AIBPS2014@ECAI


When Aug 18, 2014 - Aug 18, 2014
Where Prague
Submission Deadline May 25, 2014
Notification Due Jun 23, 2014
Categories    business processes   web services   artificial intelligence

Call For Papers

Artificial Intelligence meets Business Processes and Services (AIBPS2014@ECAI)
ECAI 2014 Workshop
Prague, August 18th
Submission deadline: May 25

The workshop "Artificial Intelligence meets Business Processes and Services"
will be part of the workshop program of ECAI 2014 in Prague, August 2014.
Its main goal is to discuss how techniques from Artificial Intelligence
can be used for improving modelling, analysis and enactment of business
processes and services
A twin workshop AIBPS’14 @SOCA is planned to be organized during the
SOCA 2014 conference to be held in Matsue, Japan, November 15-17.


Business Process Management (BPM) is a set of activities aimed at defining,
executing, monitoring and optimizing business processes, with the objective
of making the business of an enterprise as effective and efficient as possible,
and of increasing its economic success.
Such activities are highly automated, traditionally by means of workflow
technology, in BPM Systems, or, more generally, Process-Aware Information
Systems (PAISs) which also encompass other types of processes related to
human activity (health care, emergency management, home automation, etc.).
Service-Oriented Computing (SOC) is a computing paradigm that uses services
as the basic constructs to support rapid, low-cost development of distributed
applications in heterogeneous environments. The main purpose of SOC is to
create a world of cooperating services loosely connected, creating dynamic
business processes and agile applications that span organizations and platforms.

Every aspect of a process/service involves a certain amount of knowledge,
and common BPM/SOC modeling approaches are not necessarily able to cope with
the divergence from structured, pre-defined models, due to autonomous user
decisions and to unpredictable, emergent events and contextual changes,
which make the structure of processes and services significantly less rigid.
To tackle these issues, several Artificial Intelligence methodologies can be
exploited to design, model and manage business processes and services.
Knowledge representation and reasoning techniques can be used for modeling
processes/services and exceptions, for modeling background knowledge
(e.g. in the form of ontologies) and to reason about them (e.g. for
logic-based verification). Moreover, since many systems share the idea of
recalling and reusing concrete examples of change adopted in the past,
Case-based Reasoning can be exploited, to retrieve adaptation cases, and
to support the user in the overall adaptation task. When adaptations take
place, quality evaluation is needed and compliance of the new version of
the process/service with respect to specific semantic constraints can again
be verified (on line or post mortem). As a final example, data mining
techniques can be resorted to when the default process schema is not known,
but has to be learned from a set of available execution traces.
Such methodologies have proved to be helpful in a wide range of application
domains, from industrial to medical ones.
The workshop aims at collecting methodological and application papers on
the topic, addressing research on modeling and theory of business processes,
support to process adaptation and flexibility, process mining, process
verification. The final goal is to stimulate the exchange of novel as well as
more consolidated ideas and examples in the field, and to identify promising
research lines and challenges for the future.

Contributions are welcome on AI approaches for the following non-exhaustive
list of topics:

* Process/service modeling, notations and methods, esp. declarative ones,
for processes/services and their background knowledge
* Process adaptation and optimization
* Process mining
* Dynamic configuration
* Artifact-centric business processes
* Process/service verification, analysis and validation
* Run-time verification and monitoring
* Recommendations in business process and service modeling
* Case studies, empirical evaluations and experimentations


Two types of submissions will be considered:
* Regular papers (10 pages) that should describe novel research.
* Short papers (4-6 pages); this format is especially suitable for:
system presentations (for which a demonstration is expected at the workshop),
position papers, description of projects; description of work that has been
recently presented, or is going to be presented, at other venues (if consistent
with their multiple submission policy).
Papers should be submitted in the LNCS format, in PDF, via Easychair.
The workshop proceedings will be published on CEUR. Publication of a special
issue on a journal will be considered.


Submission deadline: 25 May 2014
Notification: 23 June 2014
Workshop: 18 August 2014


All workshop participants are required to register for both the workshop
and the main ECAI conference.


Stefania Montani, University of East Piedmont, Italy
Grzegorz J. Nalepa, AGH University of Science and Technology, Poland
Daniele Theseider Dupré, University of East Piedmont, Italy (primary contact


Costin Badica, University of Craiova (Romania)
Irene Barba, University of Seville (Spain)
Nick van Beest, University of Groningen (The Netherlands)
Ralph Bergmann, University of Trier (Germany)
Amelie Cordier, University of Lyon 1 (France)
David Knuplesch, University of Ulm (Germany)
Agnes Koschmider, Karlsruhe Institute of Technology (Germany)
Yves Lesperance,York University, Toronto (Canada)
Andrea Marrella, University of Rome "La Sapienza" (Italy)
Raimundas Matulevi?ius, University of Tartu (Estonia)
Massimo Mecella, University of Rome "La Sapienza" (Italy)
Marco Montali, Free University of Bozen (Italy)
Miltos Petridis, University of Brighton (UK)
Juan Recio-Garcia, Universidad Complutense de Madrid (Spain)
Pnina Soffer, University of Haifa (Israel)
Ingo Weber, NICTA (Australia)

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