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InfoVis Overview

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Short overview of the objectives followed in this project line

The information available within one user's personal knowledge space consists of highly complex structures. These may be personal information models underlying the identified processes the user is performing or simply large amounts of pieces of information as a result of previously expressed information needs. This complexity even increases when we consider the set of the users' personal knowledge spaces that together form the organizational memory. Intelligent visualization techniques help the users to cope with that complexity.

When we have a closer look at these knowledge spaces, we identify four domains.

  • the document spaces,
  • the personal and organizational information models,
  • the processes,
  • the users.

Each domain is usually populated by a set of entities that are implicitly or explicitly linked to other entities within the same or within other domains: Each of the users within the organization has got one or more document spaces to store his information items. For structuring his knowledge he relies on his personal information model. Additionally, on the level of the organizational memory, there is one global model, the organization's ontology. Besides that many process models describe different tasks of the user's daily work.

In this domain model we find three dimensions to consider for visualization:

  • each single entity in a domain (which can be a multivariate space itself),
  • a set of entities in one domain (e.g., all processes a user is involved in),
  • the inter-domain views (e.g., the connection of process steps with knowledge from the organizational memory).

While there exist many research results that address problems from the first and second dimension, there is still a demand for research in dimension three. Especially, here we get domain-spanning information of very different kinds: This may on one hand be arbitrary structural information linking objects from two or more domains or on the other hand be a large set of query results from one domain.

During the EPOS project we want to address both of these problem-classes by generalizing existing techniques within the Information Visualization domain and automatically selecting the appropriate metaphors from a given set and applying them to the given problem.

Created by manager
Last modified 2003-11-12 08:17 PM
 
 

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