Affiliation:
1. Aalborg University, Denmark
2. Aalborg University, Denmark and University of Stavanger, Norway
Abstract
Vast amounts of world knowledge is now accessible through Knowledge Graphs (KGs) in RDF format and can be queried using SPARQL. Yet, finding paths between nodes in such graphs is not part of the official SPARQL 1.1 standard; only the simpler functionality of checking reachability is supported, i.e., assessing whether two nodes are connected based on certain conditions formalized as property paths but without providing information on how they are actually connected. To close this gap of functionality, we present J
edi
, a system that extends a popular SPARQL engine, Jena, with the ability to compute paths connecting entities in a KG. J
edi
shows the
k
most relevant results to the user where relevance is assessed as a trade-off between path length and diversification of the intermediate nodes in the path. Furthermore, our solution is not limited to a single property path pattern but supports queries containing multiple property path patterns. While J
edi
supports arbitrary KGs, for demonstration purposes some predefined KGs, such as YAGO and DBLP, will be used.
Subject
General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development
Cited by
4 articles.
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