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IndustrialKG 2017 : Industrial Knowledge Graphs 2017 @ WebSci'17

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Link: https://industrial-knowledge-graphs.github.io/2017/
 
When Mar 22, 2017 - Jun 27, 2017
Where Troy, NY, USA
Abstract Registration Due May 3, 2017
Submission Deadline May 10, 2017
Notification Due Jun 3, 2017
Final Version Due Jun 9, 2017
Categories    semantic web   knowledge graph   oil & gas   aviation
 

Call For Papers

Industrial Knowledge Graphs, co-located with the 9th International ACM Web Science Conference 2017. June 25, 2017 in Troy, NY, USA

Focus: Workshop on knowledge graphs in non-consumer space and in Industrial businesses such as manufacturing, oil and gas, power, aviation, mining etc.

Workshop website: https://industrial-knowledge-graphs.github.io/2017/

Submission deadline: Abstract (May 3, 2017) and Full paper (May 10, 2017)

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Longer version

Search engines such as Google, Bing and intelligent assistants such as IBM Watson, Siri and Cortana have demonstrated tremendous benefits to users from consuming data from the knowledge graphs. There are several well-known knowledge graphs such as DBpedia, Wikidata and Schema.org in the consumer space, but very little attention has been given to knowledge graphs in non-consumer space. One such key area where more and more applications are making use of the structured data in the form of knowledge graphs is in the Industrial businesses such as manufacturing, oil and gas, power, aviation and mining. Industrial knowledge graphs can play an important role in creating Artificial Intelligence applications in the Industrial space. There is less focus on such Industrial knowledge graphs in the main track of research conferences. Our goal is to use this workshop as an ideal platform to bridge this gap and bring together researchers and practitioners in the areas of Web Science, knowledge graphs along with Industry subject matter experts.


Topics of interest include, but not limited to:

Creation of Industrial knowledge graphs (including handling noisy and incomplete information)
Curation of Industrial knowledge graphs (including collaborative maintenance of knowledge graphs)
Innovative methods for Industrial experts to query knowledge graphs
Innovative methods for Industrial experts to interact with knowledge graphs (e.g., chatbots, voice interfaces)
Applications of Industrial knowledge graphs
Tools for Industrial experts to populate knowledge graphs
Similarities and differences with consumer knowledge graphs such as Google knowledge graph, DBpedia etc.
Access control mechanisms for Industrial knowledge graphs
Other topics such as reasoning, scalability, privacy etc. as applicable in an Industrial setting
Unique challenges faced with and opportunities presented by Industrial knowledge graphs

*** We also encourage submissions related to other types of non-consumer knowledge graphs such as government and enterprise ***


Submission types

Full papers up to 8 pages maximum
Short (including vision, system) papers up to 4 pages maximum
Poster and Demo papers up to 2 page maximum


Submission Instructions

All submissions must be written in English. PDF submissions must be formatted according to the official ACM Proceedings template (http://www.acm.org/publications/proceedings-template). Submit your papers via EasyChair at https://easychair.org/conferences/?conf=industrialkg2017.


Important Dates

Abstract Submission: May 3, 2017 (encouraged but not mandatory)
Full Paper Submission: May 10, 2017
Notifications: June 3, 2017
Camera-Ready Versions: June 9, 2017


Organizing Committee

Varish Mulwad, GE Global Research, USA
Raghava Mutharaju, GE Global Research, USA


Program Committee

Adila Krisnadhi, Wright State University, USA
Alfredo Gabaldon, GE Global Research, USA
Freddy Lécué , Accenture Technology Labs, Ireland
Geeth R De Mel, IBM Research Center, UK
Geetha Manjunath, NIRAMAI, India
Jay Pujara, University of California, Santa Cruz, USA
Jennifer Sleeman, University of Maryland, Baltimore County, USA
Prajit Das, University of Maryland, Baltimore County, USA
Sören Auer, University of Bonn, Germany
Steve Gustafson, Maana, USA
Zareen Syed, IBM T.J Watson Research Center, USA

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