Modeling and Querying Graphical Representations of Statistical Data
20 Pages Posted: 5 Jul 2018 Publication Status: Accepted
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 using Semantic Web technology.
Keywords: charts and graphs, statistics, semantic web, ontology, accessibility
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