Goals and Topics
Topics of interest include, but are not limited to:- Languages, tools, and methodologies for representing and managing Information-rich data
- Novel programming paradigms aimed at the Semantic Web/ linked data /Information-rich spaces in general
- Impact of specific application areas (e.g. e-science, e-gov, sensors) on Information-rich application design
- Data Visualization
- Programming Patterns for data handling
- Evaluation of data quality
- Plugins and IDEís for information rich application development
- Ontologies, Schemata, Taxonomies and Types interplay
- Query, integration, and analysis of Semantic Web data
- Cleaning and provenance of Semantic Web data, services, and processes
- Mashing up data and processes