< Back to previous page

Project

Scalable Federated Querying of Heterogeneous Web Interfaces for Linked Data

Querying Linked Data currently requires a highly expressive query interface. Because the computational complexity of such interfaces is too demanding, the majority of knowledge cannot be queried. This research focuses on querying heterogeneous, less expressive interfaces. To efficiently compute results, the client needs to divide it across different servers, such that the limited expressivity of each interface is maximally exploited.

Date:1 Oct 2015 →  30 Sep 2021
Keywords:Linked data, semantic web, querying
Disciplines:Artificial intelligence, Distributed computing, Cognitive science and intelligent systems, Applied mathematics in specific fields, Information sciences, Theoretical computer science, Scientific computing, Programming languages, Computer architecture and networks, Information systems, Visual computing, Other information and computing sciences