Workshop on Explorative Analytics of Information Networks
Almost all information archives can be represented as a mesh of connected information entities. Analyzing such networks in order to retrieve, discover or even create new connections that are yet unknown requires powerful tools for visualization, interaction and mining. While many graph mining tools have been already developed there is a lack of integrated tools that enable a user to interact with huge information networks such that creative information discoveries can be supported. Besides refined mining and aggregation methods the interaction with the mesh itself requires sophisticated visualization methods that have to consider the limited amount of information a user is able to handle at the same time.
The goals of the workshop are to intensify the exchange of ideas between different research communities to enable the design of tools for creation, analysis and visualization of complex information networks. The workshop focuses especially on researchers that are working on methods for representation of complex knowledge resources, (dynamic) data analysis methods, semantic networks, and visualization methods as well as user interface design.
Therefore, contributions to the workshop should focus on, but are not limited to:
- Knowledge representation
- Graphical Models
- Theoretical foundations of information retrieval and interaction
- Indexing methods that create information nets
- Data structures and data bases for information networks
- Semantic content analysis for text and multimedia
- Query languages and processing
- Creative discovery methods
- User and preferences modeling (including feedback models)
- Adaptive visualization methods