This workshop is concerned with bringing and enhancing contexts to Knowledge Graphs (CKGs), i.e., every fact is enriched by the contexts (e.g., provenance, time, location, or confidence). CKGs have been gaining importance in the recent years, from research initiatives in contextualized and Distributed Description Logics, annotation of statements in the Semantic Web, and Distributed Knowledge Repositories, to being a need in the creation of collaborative knowledge bases, such as Wikidata, where qualifiers and references can be attached to every statement. This workshop aims to serve as a gathering point for researchers and industry interested in CKGs to discuss current challenges and future solutions, while at the same time raising awareness about this emerging topic to a more broader community. This workshop addresses fundamental as well as practical topics e.g., (i) logical models to encode the contextual annotations in the graph, (ii) reasoning and querying over CKGs, (iii) utilizing CKGs in applications such as query answering, data mining, or machine learning, (iv) techniques to benchmark or improve the performance of contextual graphs management. We hope that this workshop serves as a kick starter for the creation of a W3C interest group on this topic.

The rise of knowledge graphs in the industry over the last decade with Google Knowledge Graph, Facebook’s Entity Graph, Microsoft’s Satori, Apple’s Siri, and Amazon’s True Knowledge has shown the maturity and the high impact of the Semantic technologies. At the same time, we have seen a rise in interest in adding contextual annotations to statements in Knowledge Graphs, with different research communities proposing solutions for representing, reasoning, and querying this knowledge, to actual initiatives to create Knowledge Graphs with contextual annotations, such as Yago, Wikidata, or The Open Knowledge Network.

The Open Knowledge Network (OKN), a community effort led by the Big Data Interagency Working Group (IWG) 10 at NITRD, has the vision to create an open knowledge graph of all public, private, and government sectors. OKN is meant to be an inclusive, open, and community-driven, resulting in a knowledge infrastructure that could facilitate and empower a host of applications and open new research avenues including how to create trustworthy knowledge networks in the form of CKGs. While three OKN workshops have been held largely focused on understanding the requirements and building a community, the proposed workshop will be a technical and technological counterpart for OKN workshops.