Poster – Paper 574

Ephedra: SPARQL federation over RDF data and services Andriy Nikolov, Peter Haase, Johannes Trame and Artem Kozlov Poster October 23, 2017, Poster and Demo Reception, 18:30-21:20 Festsaal 1 Download paper (preprint)

Abstract

Knowledge graph management use cases often require addressing hybrid information needs that involve multitude of data sources, multitude of data modalities (e.g., structured, keyword, geospatial search), and availability of computation services (e.g., machine learning and graph analytics algorithms). Although SPARQL queries provide a convenient way of expressing data requests over RDF knowledge graphs, the level of support for hybrid information needs is limited: existing query engines usually focus on retrieving RDF data and only support a set of hard-coded built-in services. To deal with this problem, we present Ephedra: a SPARQL federation engine aimed at processing hybrid queries, which provides a flexible declarative mechanism for including hybrid services into a SPARQL federation.