[CfP] 2nd CfP: Industrial Knowledge Graphs workshop co-located with ACM WebScience 2017

Industrial Knowledge Graphs
co-located with the 9th International ACM Web Science Conference 2017
June 25, 2017 in Troy, NY, USA
https://industrial-knowledge-graphs.github.io/2017/


** Updates from last call: The page length for full papers has been changed
to 6 from 8 so that the workshop proceedings can be included in the
conference proceedings.


tl;dr version
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** Focus: Workshop on knowledge graphs in non-consumer space and in
Industrial businesses such as manufacturing, oil and gas, power, aviation,
mining etc.
** Abstract: May 3, 2017 (Encouraged)
** 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 6 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
Craig Knoblock, University of Southern California, 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
Pavan Kapanipathi, IBM T.J Watson Research Center, 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


In case of any questions, please contact industrialkg2017@easychair.org