| Aims
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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.
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| Topics
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- Dimensions of Context: such as provenance, time, location, confidence, trust, certainty, and etc.
- Modeling and Representing context on knowledge graphs
- Logical reasoning over contextualized knowledge graphs
- Sharing and Linking contextualized knowledge graphs
- Applications/use cases of contextualized knowledge graphs
- NLP and ML techniques for extracting facts along with contextual information
- Question answering over contextualized knowledge graphs
- Curation and Maintenance of contextualized knowledge graphs
- Evaluating and optimization of the performance for queries with contexts.
- Benchmarking contextualized knowledge graphs
- Compression techniques for contextualized knowledge graphs
- Algorithms for mining contextualized knowledge graphs
- Learning algorithms with background knowledge from contextualized knowledge graphs
- Publishing models for contextualized knowledge graphs
- Social media and contextualized knowledge graphs
- Domain specific knowledge graph and context (esp. Health and biomedicine)
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| Submissions Guidelines
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Paper submission and reviewing for this workshop will be electronic via EasyChair. The papers should be written in English, following the Springer LNCS format, and be submitted in PDF on or before June 1, 2018.
CKG2018 explicitly welcomes alternative and enhanced submission formats, such as communicative online materials. Authors who are preparing such a submission should contact the workshop organizers in advance to make sure we can accommodate for them in the submission and review process. All deadlines are midnight Hawaii time.
The following types of contributions are welcome.
- Full research papers (8 pages)
- Position papers (4-6 pages)
- Short research papers (4-6 pages)
- System/tool papers (4-6 pages)
We especially welcome the papers describing the datasets and use cases with contextual information such as provenance, time, location, certainty, and probability.
- Dataset paper (4-6 pages)
- Usecase paper (4-6 pages)
Papers presenting a tool will be reviewed based on the potential impact of the tool for Open Semantic Science, usability, and documentation. Accepted papers will be published at the CEUR workshop series.
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| Important Dates
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- Workshop papers due: June 1, 2018
- Notification of accepted workshop papers: June 27, 2018
- Materials for the USB sticks: July 31, 2018
- Publication of workshop proceedings: August 15, 2018
- Workshops held: October 9, 2018
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| Workshop Organizers
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- Vinh Nguyen, Kno.e.sis Center, Wright State University
- Amit Sheth, Kno.e.sis Center, Wright State University
- José M. Giménez-García, Université Jean Monnet of Saint-Étienne, France
Contact
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