Contact: Leon Deligiannidis

Semantic EventTracker

I. Goal

II. Requirements

III. Project Description

Semantic EventTracker (SET) is a highly interactive visualization tool for tracking and associating activities (events) of suspects in a Spatially Enriched Virtual Environment (SEVE). "Event" information is extracted from ontologies that enable a user to discover semantic associations between events using thematic and topological relations, including RDF graphs that represent metadata and ontological teams. For example, a suspect A traveled to city M in two days where he met another suspect B. After 3 days, they took a flight where another suspect C was also traveling and they all arrived at a nuclear facility in city N. Additionally, a week prior, suspect C had visited a bomb manufacturing facility in country X. A 2D map is generated using geospatial information which is applied as a texture on 3D objects. Temporal data is represented as a 3D multi-line in space that connects sequencing events. The slope of the line depends upon the time-distance between two events; time-distance indicates how far apart two events occurred in time, for example, this could depict how fast a suspect traveled from one place to another. A steep slop indicates greater time-distance. The line is semantically marked with 3D objects that can be selected by the user's virtual hand. Upon a marking's selection, SET displays in SEVE metadata information such as digital images, 3D models, web documents and it can also play audio and video clips. Multiple multi-lines can be visualized on the same map to help discover path crossings, meeting times, contacts of suspects, etc, of tracked suspects.

• Low Res Movie Clip (with sound) (Time 2:28, Size ~37MB, Res:320x240)
• High Res Movie Clip (with sound) (Time 2:28, Size ~99MB, Res:720x480)
• Snapshots

IV. Design

Strengths

Limitations

Links