Real-time interaction and dynamic probing are powerful, helpful tools for analysts. Lead Investigatior: Tobias Höllerer Our approach: Make interaction.

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Presentation transcript:

Real-time interaction and dynamic probing are powerful, helpful tools for analysts. Lead Investigatior: Tobias Höllerer Our approach: Make interaction feasible for large-scale data. Use interaction to predictably explore the data Make these technologies available to every web user WiGis: Web-Based Interactive Graph Interfaces Brynjar Gretarsson, John ODonovan, Svetlin Bostandjiev, Tobias Höllerer

WiGis: Web-Based Interactive Graph Interfaces Brynjar Gretarsson, John ODonovan, Svetlin Bostandjiev, Tobias Höllerer Key Ideas Manage computationally expensive interactive Visualizations. Client-side web browsers have varying computational resources. Heavy processing can be performed remotely. Ajax Techniques used to provide a seamless transition between client and server side processing. Large scale interactive graph visualizations can be provided NATIVELY in a web browser

WiGis: Web-Based Interactive Graph Interfaces Brynjar Gretarsson, John ODonovan, Svetlin Bostandjiev, Tobias Höllerer Collaborations Sought: Researchers / Analysts who have large-scale network data and desire a visual / interactive analysis component.

Interactive visualization of 1M+ nodes. Scalable by an order of magnitude more than standard web-based graph visualization tools. Fully Integrated with KDD- Blackbook WiGis: Web-Based Interactive Graph Interfaces Brynjar Gretarsson, John ODonovan, Svetlin Bostandjiev, Tobias Höllerer

Prof. Tobias Hollerer Dr. John ODonovan Brynjar Gretarsson (PhD Cand.) Svetlin Bostandjiev (PhD Cand.) Department of Computer Science, University of California, Santa Barbara. This work was partially funded by the IARPA KDD program and NSF grant IIS Contact Information Brynjar Gretarsson, John ODonovan, Svetlin Bostandjiev, Tobias Höllerer

WiGis: Web-Based Interactive Graph Interfaces (additional slide) Brynjar Gretarsson, John ODonovan, Svetlin Bostandjiev, Tobias Höllerer Client Browser Network JENA MODEL XMLSQL Programmatic Upload User Uploads Persistent Client Mode Server Mode Cartesian Node Positions Client-Side Modifications Client Mode Layout and User Interaction Server Mode User Interaction Image Data Mouse Interactions & Client-Side Modifications Layout Algorithms Interaction Algorithms Client-side Graph Model Layout Algorithms Interaction Algorithms Server-side Graph Model Server Synchronization Bi-Modal Architecture Synchronous graph models on client and server. Remote processing enables scalability