Jana Koehler – författare

This year marks the 25th anniversary of the Annual German Conference on Arti?cial Intelligence. When starting in 1975 as the German Workshop on AI (GWAI) in Bonn, the meetings were primarily intended as a forum for the G- manAIcommunityandthus,overtheyears,alsore?ectedthedevelopmentofAI researchinGermany.Rightfromthebeginning,thegoalofthemeetingshasbeen to bring together AI researchers working in academia and industry to share their research results and interests in the ?eld of arti?cial intelligence. In 1993, the name of the meeting changed to its current formAnnual German Conference on Arti?cial Intelligence, or KI for short. Since KI-94 in Saarbruc .. ken presentations have been in English and the proceedings have been published in the Springer LNAI Series. With that the meeting has become a truly international event, and still is in 2002. Thisvolumecontainstheproceedingsofthe25thAnnualGermanConference on Arti?cial Intelligence. For the technical program we had 58 submissions from 17 countries and from all continents except Australia.Out of these contributions slightly less than 30% (20 papers in total) were selected for presentation at the conference and for inclusion in the proceedings. Thecontributionsinthisvolumere?ecttherichnessanddiversityofarti?cial intelligence research. They cover important areas such as multi-agent systems, machine learning, natural language processing, constraint reasoning, knowledge representation, planning, and temporal reasoning. The paper "On the problem of computing small representations of least common subsumers" by Franz Baader and Anni-Yasmin Turhan (Dresden U- versity of Technology) stood out for its exceptional quality and the program committee selected it for the Springer Best Paper Award. Congratulations to the authors for their excellent contribution.

The BPM (Business Process Management) Conference series has the ambition to be the premier forum for researchersin the area of process-awareinformation systems.It has a recordfor attracting contributions in innovative researchofthe highest quality related to all aspects of business process management including theory, frameworks, methods, techniques, architectures, and empirical ?ndings. BPM 2009 was the 7th instantiation of this series. It took place in Ulm, G- many, September 8–10, 2009, organized by the Institute of Databases and Inf- mation Systems of the University of Ulm. This volume contains 17 contributed research papers and two contributed industrial papers selected from 116 s- missions from 31 countries. The thorough reviewing process—each paper was reviewed by three to ?ve Program Committee members—was extremely c- petitive as the acceptance rate of 16% indicates. In addition to the contributed papers, these proceedings contain two papers and an outline documenting the invited keynote talks. Furthermore, a report is included on the collaboration structure in BPM research derived from an analysis of papers accepted for all past BPM conferences. In conjunction with the main conference, nine international workshops took place the day before the conference. These workshops fostered the exchange of fresh ideas and experiences between active BPM researchers, and stimulated discussions on new and emerging issues in line with the conference topics. The proceedings with the papers of all workshops will be published in a separate volume of Springer’s Lecture Notes in Business Information Processing series.

The BPM (Business Process Management) Conference series has the ambition to be the premier forum for researchersin the area of process-awareinformation systems.It has a recordfor attracting contributions in innovative researchofthe highest quality related to all aspects of business process management including theory, frameworks, methods, techniques, architectures, and empirical ?ndings. BPM 2009 was the 7th instantiation of this series. It took place in Ulm, G- many, September 8–10, 2009, organized by the Institute of Databases and Inf- mation Systems of the University of Ulm. This volume contains 17 contributed research papers and two contributed industrial papers selected from 116 s- missions from 31 countries. The thorough reviewing process—each paper was reviewed by three to ?ve Program Committee members—was extremely c- petitive as the acceptance rate of 16% indicates. In addition to the contributed papers, these proceedings contain two papers and an outline documenting the invited keynote talks. Furthermore, a report is included on the collaboration structure in BPM research derived from an analysis of papers accepted for all past BPM conferences. In conjunction with the main conference, nine international workshops took place the day before the conference. These workshops fostered the exchange of fresh ideas and experiences between active BPM researchers, and stimulated discussions on new and emerging issues in line with the conference topics. The proceedings with the papers of all workshops will be published in a separate volume of Springer’s Lecture Notes in Business Information Processing series.

This book constitutes the proceedings of the third workshop on Business Process Model and Notation, BPMN 2011, held in Lucerne, Switzerland, in November 2011. The 8 research papers presented were carefully reviewed and selected from 20 submissions. In addition, 10 short papers are included. The workshop applied a thorough reviewing process, during which each paper was reviewed by three Program Committee members. The BPMN workshop series provides a forum for academics and practitioners who share an interest in business process modeling using the business process modeling notation, which is seen by many as the de facto standard for business process modeling. This year, the workshop lasted two days and consisted of both a scientific and a practitioner event.

Algorithmen Künstlicher Intelligenz werden stetig weiterentwickelt und kommen in immer mehr Anwendungen in Wirtschaft und Gesellschaft zum Einsatz. Es werden professionelle Prozesse und Strukturen benötigt, um Anwendungen zu entwickeln, zu betreiben und in den betrieblichen Kontext zu integrieren. Dieses essential beschreibt die grundsätzlichen Prozesse eines Managements Künstlicher Intelligenz und zeigt Beispiele für konkreten unternehmerischen Nutzen.

Algorithmen Künstlicher Intelligenz werden stetig weiterentwickelt und kommen in immer mehr Anwendungen in Wirtschaft und Gesellschaft zum Einsatz. Es werden professionelle Prozesse und Strukturen benötigt, um Anwendungen zu entwickeln, zu betreiben und in den betrieblichen Kontext zu integrieren. Dieses essential beschreibt die grundsätzlichen Prozesse eines Managements Künstlicher Intelligenz und zeigt Beispiele für konkreten unternehmerischen Nutzen.