Abstract
Although pictorial renditions of statistical data are ubiquitous, few techniques and standards exist to exchange, search and query these graphical representations. We present several improvements to human–graph interaction including (i) a new approach to manage statistical graph knowledge by semantic annotation of graphs that bridges the gap between web 2.0 social tagging and formal, logic-based approaches, (ii) knowledge management and discovery across a non-trivial graph knowledge base and (iii) sophisticated question answering that requires background knowledge.
Original language | English |
---|---|
Pages (from-to) | 241-254 |
Journal | Journal of Web Semantics |
Volume | 8 |
Issue number | 2-3 |
DOIs | |
Publication status | Published - Jul 2010 |
Externally published | Yes |
Keywords
- Charts and graphs
- Statistics
- Semantic Web
- Ontology
- Accessibility