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Behavioral and Social Science Data Data Policy
List
of Participants About the CODATA 2002 Conference
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CODATA Course on Information
Visualization CODATA Course on Heterogeneous
Information Database & Data Warehousing
Saturday, 28
September from 9 AM to 12 PM and 1 PM to 4PM CODATA
Course on Information Visualization
Instructors Registration Form for CODATA Course on Information Visualization The course will give the participants a working knowledge of effective visualization approaches for presenting information and data. Visual representation of information requires merging of data visualization methods, computer graphics, design, and imagination. In contrast with scientific data, i.e. spatially or geometrically based data, information spaces are more abstract and different from physical data spaces and thus require different visualization approaches. The course will cover types of information and visualization of information retrieved from the World Wide Web (browsing and searching), from large document collections, and from databases. The attendees will learn how to make sense of information with visualization. Practical applications will be illustrated using specific case studies. The course highlights the process of producing effective visualizations, making sense of information, taking users' needs into account, and illustrating good practical visualization procedures in specific case studies. More specifically, the course will cover the following topics:
Including one-day course, course material, break and lunch
CODATA
Course on Heterogeneous Information Database & Data Warehousing
Instructors
The course will give the participants a working knowledge on managing, exchanging and integrating heterogeneous information in multidimensional databases, 3D modeling, data warehousing and querying tools. Managing heterogeneous database requires a careful design, architectures and techniques for integrating schemas and data into the information system. It requires new concepts and strategies, which deals with developing architectures and techniques for integrating heterogeneous data, with specific techniques to share standard information in mining systems, 3D modeling and web information management. This half-day course will cover the following topics:
The course will be illustrated by ongoing developments in formal and experimental work and extended examples will help the auditors to understand underlying concepts and the difficulties with application. The attendees will be able to master the advanced concepts and difficulties in designing and using heterogeneous database information systems. Practical applications will be illustrated using specific case studies. The selected topics will provide scientists, information specialists, engineers, managers, and librarians with new insights in the field of heterogeneous knowledge management systems, including critical aspects of databases decision making, backed by information sharing processes. In addition, managers will find new incentives and materials to support new information tools in their organization.
Course Price: 120 US $
Book: Heterogeneous Information Exchange. Special Tutorial Price Heterogeneous Information Exchange and Organizational Hubs See contents at: http://www.wkap.nl/prod/b/1-4020-0649-7
The book will be offered to the attendees at a special reduced price 120 US$ 90 US$
Environmental
Information in Satellite Imagery and Numerical Classification
An avalanche of data from space-based remote sensing systems is descending on environmental scientists in many disciplines from space physics and ecology, but the number of scientists to analyze the data is not increasing at a similar rate. At the same time environmental data management systems have undergone a dramatic change in order to "mine" information in the archives using intelligent search systems. Can this avalanche of data be managed in a way to assist scientific investigations? Can intelligent systems be designed to extract nuggets of information from the managed archives? What type of image classification information needs to be available from the data system? Because remote sensing is an indirect measure of discipline specific parameters, the same data are used in applications covering different scientific disciplines. Thus these data need to be managed in a way that supports as many applications and disciplines as possible. For example, the same imagery are used to identify clouds, to detect wildfires, to classify vegetation and to identify auroral features. And sometimes one person's signal is another person's noise; for example, an atmospheric scientist studying clouds will identify many features as clouds including smoke, but an ecologist studying wildfires only wants those clouds identified that obscure the detection of wildfires. Thus clouds should be available to the intelligent search system. What other information should be included and can this information be derived numerically? Can this information be derived numerically? What other atmospheric and space environment characteristics can be automatically characterized? The workshop will focus on three topics: numerical classification of environmental information in satellite imagery, management of the archives, and intelligent search systems. Workshop presentations will address numerical methods used to identify clouds, aurora, wildfires, snow cover, sea ice, vegetation, cities, land use, environmental change and the effect of natural hazards. It will investigate ways to manage the archives to facilitate the application of these methods. And it will discuss intelligent mining systems that can extract the information that the environmental science community needs to peruse the avalanche of satellite data. Mathematical techniques to handle and analyze these data will be another topic of the workshop. Modern methods of cluster analysis, pattern recognition and classification with learning will be a focus of the workshop. Fuzzy set and fuzzy logic based algorithms and results of their applications to satellite imagery will be considered and detaily discussed by the workshop. Virtual laboratories tools to handle environmental and satellite imagery data will be discussed at lengh by the workshop. All CODATA International Conference participants are welcome to take part in the workshop.
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Last site update: 15 March 2003
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