Keynote I: Data to Smart Decisions
Jen-Yao Chung

Abstract
Climate change, rising energy costs and resource constraints are increasing becoming global issues for government and business. These global issues are driving new trends in the development of Smart Technologies. The ability to pull value from data is a crucial competitive differentiator. Substantial value can be realized by making smart data-driven decisions. A vast amount of heterogeneous data of variable quality requires better tools to identify data that is relevant for smart decision making. Although analytics technology has a proven and growing ability to create value from data, it needs to be made usable for all decision makers, not just analysts. Analytics will become more consumable by enabling users to interact with analytics in business-specific ways and by integrating analytics with technologies that can discover relevant data. In this talk, we will discuss the new wave of data gathering and analytic technologies, and industrial case studies. We will conclude with our views on future trend, directions and research topics on Smart Decisions.

Biography
Jen-Yao Chung received the M.S. and Ph.D. degrees in computer science from the University of Illinois at Urbana-Champaign. He is the senior manager for Industry Technology and Solutions, IBM T. J. Watson Research Center, responsible for identifying and creating emerging solutions with focus on “Green Computing and Business”. Before that, he was Chief Technology Officer for IBM Global Electronics Industry. Before that, he was senior manager of the electronic commerce and supply chain department, and program director for the IBM Institute for Advanced Commerce Technology office. Dr. Chung is co-Editor in Chief of the International Journal of Service Oriented Computing and Applications (published by Springer). Dr. Chung is the co-founder and co-chair of the IEEE technical committee on Electronic Commerce. He has served as general chairs and program chairs for many international conferences. He has authored or co-authored over 160 technical papers in published journals or conference proceedings. He is a Fellow of IEEE and a Distinguished Engineer of ACM.

Keynote II: Scalable Web Data Extraction for Online Market Intelligence
Georg Gottlob

Abstract
Online market intelligence (OMI), and, especially, competitive intelligence for product pricing, is a very important application area for Web data extraction. However, OMI presents nontrivial challenges to data extraction technology. Sophisticated and highly parameterized navigation and extraction tasks are required. Data cleansing on the fly is necessary in order two identify identical products from different suppliers. It must be possible to smoothly define data flow scenarios that merge and filter streams of extracted data stemming from several Web sites and store the resulting data into a data warehouse, where the data are subjected to market intelligence analytics. Finally, the system must be highly scalable so to extract and process massive amounts of data in a short time. Lixto (www.lixto.com), a company offering data tools and services, has been providing OMI solution for several customers. In this talk it is shown how Lixto has tackled each of the above challenges by improving and extending its original data extraction software. Most importantly, we show how high scalability is achieved through cloud computing. The talk also features case studies in different application domains. Joint work with Robert Baumgartner and Marcus Herzog.

Biography
Georg Gottlob is a Professor of Computing Science at Oxford University. His research interests are in database theory (in particular, query languages), Web information processing, AI, and computational logic. Gottlob got his Ph.D. degree in Computer Science from TU Vienna, Austria in 1979 and 1981, respectively. Before he moved to Oxford in 2006, he was a Professor of Computer Science at TU (since 1988). Before that, he was affiliated with the Italian National Research Council in Genoa, Italy. He also was a Research Associate and lecturer at the Politecnico di Milano, Stanford University and held visiting positions at Paris VII and at Berkeley. Gottlob has received the Wittgenstein Award from the Austrian National Science Fund. He is an ACM and an ECCAI Fellow, and a member of the Austrian Academy of Sciences, the German National Academy of Sciences Leopoldina, and the European Academy of Sciences Academia Europaea in London. He chaired the Program Committees of IJCAI 2003 and ACM PODS 2000. He has co-founded the Lixto software company (www.lixto.com) which offers software and services for Web data extraction.

Keynote III: SOA 2.0 – Models, Methods, and Algorithms
Schahram Dustdar

Abstract
The transformation of how people collaborate and interact on the Web has been poorly leveraged in existing service-oriented architectures (SOA). The paradigm of SOA and Web services is based on loose coupling and dynamic discovery of services. The user should be able to define interaction interfaces (services) following the same principles to avoid the need for parallel systems of software services and Human-Provided Services (HPS). The benefit of this approach is a seamless service-oriented infrastructure of human- and software services. In this keynote talk I will focus on the discovery of user preferences and expertise based on ad-hoc interactions and thus will address two issues: which aspects of users’ activities are most relevant for provisioning expertise and how can personalized services effectively be provided by the end-user.

Biography
Since July 2005, Schahram Dustdar is Full Professor of Computer Science with a focus on Internet Technologies heading the Distributed Systems Group, Institute of Information Systems, Vienna University of Technology (TU Wien) where he is director of the Vita Lab. He is also Honorary Professor of Information Systems at the Department of Computing Science at the University of Groningen (RuG), The Netherlands. He is Chair of the IFIP Working Group 6.4 on Internet Applications Engineering and a founding member of the Scientific Academy of Service Technology. He has published some 200 scientific papers as conference-, journal-, and book contributions. He has written 3 academic books as well as one professional book. He co-organized several scientific workshops and conferences (e.g., ICSOC 2007, BPM 2006, DiSD 2005 colocated with RE; Teamware colocated with SAINT; CSSE colocated with ASE; UMICS 2003, 2004, 2005, 2006, colocated with CAiSE; DMC 2003, 2004, 2005, 2006 colocated with IEEE WETICE) and has been serving on more than 200 international program committees as well as on editorial boards of 10 scientific journals. His research interests include collaborative computing, workflow systems, Internet technologies, software architecture, distributed systems, distributed multimedia systems, and mobile collaboration systems. He is charter member of the Association of Information Systems (AIS), member of the IEEE Computer society, ACM, GI, and Austrian Computer Society. He was an invited expert evaluator for the IST 6th Framework (FP6) of the European Commission as well as an invited expert for the 7th Framework roadmap definitions for some working groups. He has been a scientific reviewer for the European Research Council (ERC) as well as a number of National Science Foundations (e.g., DFG (Germany), NWO (Netherlands), SNF (Switzerland), EPSRC (UK), SFI (Ireland), NSERC (Canada)).

Keynote DEECS & RTSOA Workshop: The Challenges of Automotive Service Integration Platform
Akihito Iwai

Abstract
Today, public institutions and private enterprises are providing a variety of services for safe and convenient usage of automobiles, and new services are being created by combination/mash‐ups of those pre‐existing services. In the future, this method of service development will become even more popular, leading to the standardization of the IT Infrastructure among our societies. However, in the automotive industry, no standardized platform has been provided to efficientize, schematize, and continuously support the integration of these services. The reason for that is due to the fact that when a automotive device collaborates with outside IT infrastructure, there are automotive‐unique issues such as the ensuring of real‐time performance, limited resources, handling of events, high reliability, etc. In this presentation I hope to make clear of these issues in automotive service collaboration, and discuss the requirements of the automotive service integration platform as well as our SOA technique‐based approach with some example cases in the automotive industry.

Biography
Akihito Iwai is senior manager of electric platform development division (e‐PF) in DENSO Corporation where he is in charge of R&D for the development of “Software Platform”, a standard software infrastructure throughout the ECUs (Electric Control Units) in automotive E/E systems. Since entering Nippondenso Co., Ltd (now DENSO Corporation) in 1988, he has been engaged in the software development for ECUs, and after 1996, he has been devoted to the innovation of the automotive software development process using Object Oriented Technology. He is currently involved in numerous automotive standardization activities including AUTOSAR and JASPAR.