FhG AIS, Team SPADESpatial Decision Support Fraunhofer-Gesellschaft e.V.

Page 2 Knowledge Computing Fraunhofer-Institut Autonomous Intelligent Systems Knowledge Discovery Adaptive Reflective Agents Mediation Systems Robot Control Architectures Biomimetic Autonomous Robots Intelligent Dynamical Systems Behavior Engineering Dependable Real-Time Control Robotics Lab. Marketing / PR Management Infrastructure Autonomous Mobile Robots Spatial Decision Support

Page 3 AIS staff 140 employees 88 scientists (incl. 13 Post Doc´s) 16 Ph.D. students 20 students 16 technical staff and management

Page 4 Knowledge Computing at Fraunhofer-AIS Director: Prof. Stefan Wrobel ~ 45 scientists in 4 interdisciplinary research departments Knowledge Discovery (13), Micro Simulation (9), Spatial Decision Support (8), Mediation Systems (15) Business Areas E-Participation: intelligent services for citizens and enterprises Information Mining: for smarter business services Geo-Intelligence: for spatial decision support and mobility management

Page 5 Mission AIS.SPADE The SDS team shall provide leading-edge IT support for spatial analysis and decision making, and make its utilization attractive and manageable by a broader cross-section of people in the public, private, and NGO sector.

Page 6 Interactive displays Dot plot … and Parallel coordinates plot Table lens view Dynamic query device Various classification tools Scatter-plot (matrix) Various styles of interactive maps

Page 7 Example: Parallel Coordinate Plots and Weighing of Criteria

Page 8 Earthquakes, interactive temporal analysis

Page 9 Interactive tracking of flyways of white storcks Positions as reported from GPS signals German School Project: Naturdetektive

Page 10 Register - Observe - Entry Interaction - Presentation - Communication German School Project: Naturdetektive

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Page 12 Particular Challenge: Make cartographic data, visual analysis, and decision support available and manageable for expert and non expert cartographers Cope with it by Very appealing and intuitive user interfaces!! Incorporating knowledge into the software A thematic mapping knowledge base automatically selects those presentations that are „valid“ for the selected variables. Further guidance is provided by an extension of the knowledge base that takes into account the current task/goal of the analysis (which may include automatic data transformations, e.g. from absolute to relative values).

Page 13 Projects GIMMI 03/ /2004 Major goals: CommonGIS-based portal for European water quality management, particularly pesticide impact assessment Issues: heterogeneous and distributed resources, temporal analysis, integration with simulation, legacy, and workflow software, e-commerce and brokerage, mobile access Geographic Information and Mathematical Models Inter-operability TXT e-Solutions SpA, Milano Hochschule für Technik und Wirtschaft des Saarlandes, Environmental Informatics Group, Saarbrücken University of Rome "La Sapienza", Laboratorio di Sistemi Informativi Territoriali ed Ambientali Ente Regionale per lo Sviluppo Agricolo della Lombardia Ministry of Agriculture in Catalonia National Meteorological and Hydrological Service of Ecuador

Page 14 Projects CHCC 02/ /2002 Major goal: Developing the Collection of Historical and Contemporary UK Census Data and Materials into a Major Learning and Teaching Resource SDS Particularly addresses visual exploration of time series data MIMAS and the Census Dissemination Unit, The University of Manchester The School of Geography, The University of Leeds The Cathie Marsh Centre for Census and Survey Research, The University of Manchester The History Data Service, The Data Archive, The University of Essex The LTSN Subject Centre for History, Archaeology and Classical Studies, The University of Glasgow The Data Archive, The University of Essex

Page 15 Other projects EU-Project SPIN!, 01/ /03, Spatial Data Mining, combined visual exploration and data mining EU-NoE KD-Net, The Knowledge Discovery Network, 01/ /04 BMBF project Kogiplan, 10/2000 – 03/2003, in-depth cooperation with AIS.KD and AIS.MS, and FhG-IGD, FhG-ITWM

Page 16 Experience with GI and GIS, projects EU-Project CommonGIS 10/ /2001 Major results: CommonGIS software highly configurable easily extensible and embeddable Language for describing spatially related data and relationships (syntax, semantics and pragmatics)

Page 17 Experience with GI and GIS, projects EFIS project 01/ /2002 Major results: CommonGIS-based portal for European forest information Integration of raster and vector-based presentation and analysis Transparent access to heterogeneous data bases NEU! NEFIS project 03/ /2005

Page 18 Experience with GI and GIS, projects Naturdetektive 1998 – 2004 Major objecives: raise awareness about biodiversity Nature detectives combine practical experience about nature and the Internet Annual selection of topics: observe fauna, flora, living environments BfN - Bundesamt für Naturschutz Digivision, Cologne

Page 19 Memberships  OGC, Open GIS Consortium  GISIG, Geographic Information Special Interest Group  DDGI (German Umbrella Organisation for GI), Advisory Board (Hans Voss)  Gennady and Natalia Andrienko are active members of the International Cartographic Association (ICA) Commission on Visualization and Virtual Reality Commission on Maps and the Internet

Page 20 Future Directions, Research Advance theory of spatial analysis and decision making: objects, relationships, objectives, tasks Materialize theory into practical support by smart help facilities Design innovative ways of further visual, exploratory analysis and decision support tools, particularly addressing collaborative spatial decision making Design manageable ways of integrating spatial, visual support with data mining, simulation models, spatial planning procedures, and legacy software

Page 21 Future Directions, Development make CommonGIS software available for free download for non-commercial applications, including sources for interface specifications, configurability and application design, on define commercial distribution business model optimize means for building efficient, reliable, scalable, and embedded applications

Page 22 SPADE Staff  Dr. Hans Voss (head)  Dr. Natalia Andrienko  Dr. Gennady Andrienko  Peter Gatalsky  Simon Scheider  Ivan Denisovich  Mark Ostrovski  Matthias Sorsoli (stud)

Page 23 Publications Journals 2003: : : : : 2 Refereed Conference Papers 2002: : : : 8

Page 24 CommonGIS Architecture data selects task wants to perform Conceptual data description CommonGIS system map map manipulator creates Data characteristics Effectiveness knowledge Cartographic rules takes into account

Page 25 URLs