What comes after the Semantic Web:
PADS implications for the Dynamic Web!
Andreas Tolk
Virginia Modeling Analysis & Simulation Center (VMASC)
Old Dominion University
atolk@odu.edu
Abstract
The Internet started as a web of sites to be displayed on request for use by humans. As long as this display was limited to pure text, it was mainly used by academics to easily exchange ideas on publications. With the advent of Internet browsers, the web became a medium used by many users and today the use of Internet resources even becomes a standard for middle schools in technology driven countries. With the introduction of XML, this changed dramatically. The Internet became a web of data instead of documents and moves currently towards the Semantic Web. This enabled new concepts, like machine-to-machine information exchange via the web without a human-in-the-loop. Web services allow web-based applications that are truly distributed in a way that have not been possible before. However, when looking at the Principles of Advanced & Distributed Simulation, the promise of the Semantic Web falls short. While the Semantic Web targets data to describe situations and common pictures, PADS drives towards the orchestration and alignment of highly agile and dynamic interdependent applications. Higher levels of interoperation are required capturing not only the semantics of data to be exchanged, but also the possible compositions of these data into business objects (pragmatics), how the information exchange will influence the sending and receiving systems (dynamics), and finally what the constraints for such compositions are (concepts). In order to enable this, we need a vision beyond the Semantic Web, which will deserve the name "Dynamic Web" and will be a web of composable services.
Biodata
Dr Andreas Tolk is a Senior Research Scientist at VMASC since Spring 2002. He has over 15 years of international experience in the domain of simulation applications in the military environment. He received his Ph.D. in 1995 from the University of the Federal Armed Forces in Munich, and holds a German Diploma (M.S.) in Computer Science since 1988. After leaving the German Armed Forces, Dr. Tolk first joined ESG, one of the main German contractors for Command and Control Systems, where he worked as a program manager for Decision Support Tools, and afterwards went to IABG, the main supporter of the German DoD concerning military Operations Research, where he worked as Head of Department for Tactical Systems, Technical Advisor for R&D in C4ISR, and finally as Vice President for Land Weapon Systems. Dr. Tolk was one of the experts helping to write the NATO Modeling and Simulation Master Plan and participated in several NATO Studies. He also serves as Technical Evaluator for the annual NATO M&S Conference since 2003. He is an elected member of the Executive Committee (EXCOM) of the Simulation Interoperability Standards Organization (SISO) and serves as vice chair of the M&S/Command and Control Services panel. He received several awards for his work on interoperability issues, especially integration issues of Command and Control systems and simulation systems for decision support, training in computer assisted exercises, as well as procurement and acquisition. He has published more than 80 papers and articles, several of them awarded by international organizations. He is teaching in the M&S curriculum of Old Dominion University and is a member of the international Body-of-Knowledge review committee for M&S.
Distributed Simulation in Manufacturing and Logistics
Peter Lendermann
Production & Operations Management Group
Singapore Institute of Manufacturing Technology
71 Nanyang Drive, Singapore 638075
E-mail: peterl@SIMTech.a-star.edu.sg
Abstract
Distributed simulation technology was originally developed for application in the military domain. Subsequently, the availability of synchronisation middleware such as the Runtime Infrastructure of the High Level Architecture has also inspired research looking at application of distributed simulation for modelling and analysis of other large-scale, heterogeneous systems such as supply networks. In this keynote talk, research accomplishments that have been made in Singapore in the area of distributed simulation in the context of manufacturing and logistics will be reviewed. With a dozen wafer fabrication plants and more than 20 assembly & test facilities currently being operated in Singapore, potential application scenarios have naturally been looking at the semiconductor manufacturing domain. Challenges in view of implementation of distributed simulation in an industrial environment and application for the resolution of real-world problems will be discussed as well.
Biodata
Peter Lendermann is a Senior Scientist in the Production and Operations Management Group at Singapore Institute of Manufacturing Technology (SIMTech) where he is leading the research efforts looking at simulation-based decision support technologies for asset-intensive businesses. He is also a Principal Investigator in the Integrated Manufacturing and Service Systems (IMSS) Thematic Strategic Research Programme of the Science and Engineering Research Council (SERC) at A*STAR in Singapore. He holds a concurrent appointment as Adjunct Associate Professor at the Department of Industrial and Systems Engineering at the National University of Singapore.
Before joining SIMTech, he was a Managing Consultant with agiplan in Germany where his focus was on the areas of supply chain management and production planning. He also worked as a Research Associate at the European Laboratory for Particle Physics CERN in Geneva ( Switzerland) and Nagoya University ( Japan). He obtained a Diploma in Physics from the University of Munich ( Germany), a Doctorate in Applied Physics from Humboldt-University in Berlin ( Germany) and a Master in International Economics and Management from Bocconi-University in Milan ( Italy).
