|
Title: What's the Semantics of Modeling Nature? by Prof. David Harel (Fellow of the ACM and IEEE), Weizmann Institute of Science, Israel
Abstract: This talk will discuss the idea of comprehensive modeling of natural systems, with particular emphasis on modeling biology. In comprehensive modeling the main purpose is to understand the system in detail and to use that understanding to analyze and predict behavior in silico. I will address the motivation for such modeling and the philosophy underlying the techniques for carrying it out, as well as the crucial question of when such models are to be deemed valid, or complete. Agreement on the validity of such models is, in fact, agreement on the intended semantics of modeling in general. The examples I will present briefly will be of biological systems, but the ideas apply to other systems too, including ones from the natural, social, economic arenas. To address the question of validity, or completeness (i.e., "when are we done?"), I will propose a Turing-like test, borrowed from artificial intelligence, but with a Popperian twist that caters for the continuous advances in human knowledge over time. |
|
Title: Services for the Semantic Grid by Prof. Geoffrey C. Fox, Indiana University, USA
Abstract: The Semantic Grid adds unique capabilities to those needed by any Grid and these need to be supported by appropriate Grid services. We review the general suite of services needed by any Grid and then focus in on the specific data and metadata related services needed by the Semantic Grid. We contrast several types of metadata services -- those associated with registries or catalogs such as UDDI; those associated with large scalable relatively static stores (say of RDF triples) and those needed to store very dynamic data and metadata. In each case, one needs to support both system and domain specific information. We cover both "batch file" and "real-time" (streaming) applications and contrast the needs of the Semantic Grid with that of general data-mining and filtering applications. The role of caching is discussed. |
|
Title: The Knowledge Grid and Its Methodology by Prof. Hai Zhuge
Abstract: The Knowledge Grid is an intelligent and sustainable interconnect environment that enables people or agents to effectively capture, publish, share and manage knowledge resources. It also provides on-demand services to support innovation, cooperative teamwork, problem-solving and decision making. It incorporates epistemology and ontology to reflect human cognition characteristics, exploits social, ecological and economic principles, and adopts the techniques and standards developed during work toward the future interconnection environment. The Knowledge Grid Methodology is a multi-disciplinary system methodology for establishing a global knowledge world that obeys the principles and laws of economics, nature, society, psychology and information technology.
Paper: H. Zhuge, The Knowledge Grid and Its Methodology, 1st International Conference on Semantics, Knowledge and Grid, Nov 27-29, 2005, Beijing, China |