Example Driven Analytics of Open Knowledge Graphs
The Linked Open Data cloud (LOD) contains a very rich corpus of information that requires dedicated business analytics and information extractions technologies for the elicitation of valuable insights. Yet, to access this data and perform such analysis, the typical gateways are specialized query languages (e.g., SPARQL) that are usually challenging to use to non-expert users. This constitutes a major impediment in the successful exploitation of Linked Open Data.
To support advanced LOD analytics we propose a novel data exploration system which allows users to extract insights within complex and unfamiliar datasets. We plan to implement dedicated Business Intelligence (BI) operators enabled by the Exemplar Query paradigm for Exploratory Online Analytical Processing (OLAP). Example-based methods have proven to be extremely valuable since they avoid complex query languages by using examples to represent the required information. Yet, they have never been studied in the OLAP/BI context. Therefore, we propose to study a new Example-Driven Exploration system to bridge the gap between example-based queries and BI methods.