Contact: Leon Deligiannidis

Semantic Analytics Visualization


I. Goal



II. Requirements



III. Project Description


"Semantic Analytics Visualization" (SAV) is a 3D visualization tool for Semantic Analytics. It has the capability for visualizing ontologies and meta-data including annotated web documents, images, and digital media such as audio and video clips in a synthetic three-dimensional semi-immersive environment. More importantly, SAV supports visual semantic analytics, whereby an analyst can interactively investigate complex relationships between heterogeneous information. Use of a Virtual Reality technology allows it to provide a highly interactive interface. The backend of SAV supports query processing and semantic association discovery developed in the SemDis project. Using a virtual laser pointer, the user can select nodes in the scene and either play digital media, display images, or load annotated web documents. SAV can also display the ranking of web documents as well as the ranking of paths (sequences of links). SAV supports dynamic specification of sub-queries of a given graph and displays the results based on ranking information, which enables the users to find, analyze and comprehend the information presented quickly and accurately.

Leonidas Deligiannidis, Amit P. Sheth and Boanerges Aleman-Meza, "Semantic Analytics Visualization". In Proc. of the IEEE International Conference on Intelligence and Security Informatics (ISI-2006), May 23-24 2006, San Diego, CA, USA. SAV

SAV javadoc


IV. Design



Strengths


Limitations


Installation Instructions

Download and install the following:
Other things you need:
  • A computer :).... with a good video card.
  • PinchGloves
  • Polhemus FastRak (we need 3 sensors)