SmILE Semantic Information Systems and Language Engineering Group

IVEA - Information Visualization for Exploratory Document Collection Analysis

Knowledge work in many fields requires examining several aspects of a collection of documents to attain meaningful understanding that is not explicitly available. The insights obtained from the exploration and analysis of a text collection can enable knowledge workers to understand topic distribution, to find clusters of similar documents, or to identify trends or linkages between different entities.

IVEA employs the PIMO ontology, which acts as a “formal representation of the structures and concepts” within a knowledge worker's mental model, as a means to integrate the users' interests into the exploration process. Furthermore, IVEA also enables users to incrementally enrich their PIMO ontologies with entities matching their evolving interests on-the-fly. With the newly added entities, the PIMO ontology becomes a better representation of the users' interests and hence can lead to more personalized exploration experiences in the future.

Demo:
IVEA demo new
IVEA demo 1
IVEA demo 2

IVEA is work in progress. Further details can be found in the ESWC2008, VAST09, and IVITA10 papers.