Result Optimisation for Federated SPARQL Queries

Linked open data end-points are accessible to users and applications to exploit semantic data. However it is not very usable for non-expert users. A search tool can be evaluated on certain criteria i.e. access to knowledge resources, usability, expressivity and scalability. For a user friendly semantic search tool, there is a number of challenges e.g. translating user query to formal SPARQL query, scalability, guidance, optimising query results for better readability and visualisation etc. The focus of this paper is the result optimisation for the data received as a result of running queries over different SPARQL end-points. The paper highlights two aspects of the result optimisation i.e. (i) result ranking and (ii) result readability. The paper introduces algorithm for result ranking and suggests the layout schema that defines the result template for the user interface.