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AIBPS@ECAI 2014 : Artificial Intelligence meets Business Processes and Services AIBPS2014@ECAI | |||||||||||||
Link: http://www.di.unipmn.it/aibps14ecai.html | |||||||||||||
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Call For Papers | |||||||||||||
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CALL FOR PAPERS *************** ****************************************************************************** Artificial Intelligence meets Business Processes and Services (AIBPS2014@ECAI) ****************************************************************************** ******************* ECAI 2014 Workshop ******************* Prague, August 18th ******************* **************************************** http://www.di.unipmn.it/aibps14ecai.html **************************************** *************************** 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. CALL FOR PAPERS 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 SUBMISSION INFORMATION 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. IMPORTANT DATES Submission deadline: 25 May 2014 Notification: 23 June 2014 Workshop: 18 August 2014 REGISTRATION INFORMATION All workshop participants are required to register for both the workshop and the main ECAI conference. WORKSHOP CO-CHAIRS 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 person, dtd@di.unipmn.it) PROGRAM COMMITTEE 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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