[CFP]: Workshop on Best Practices and Dynamic Knowledge Graphs (KOGPIT)

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[CFP]: Workshop on Best Practices and Dynamic Knowledge Graphs (KOGPIT)

Ghislain ATEMEZING

### Call for Papers ###

Workshop on Best Practices and Dynamic Knowledge Graphs (KOGPIT)

In conjunction with  1st IBEROAMERICAN KNOWLEDGE GRAPHS AND SEMANTIC WEB CONFERENCE

June 24 or 25, 2019 Villa Clara, CUBA

Link: https://mondecalabs.github.io/KOGPIT19

Contributions deadline: March 15, 2019 (23:59 Hawaii Time)


#### About the Workshop ###


The workshop intends to bring together researchers and practitioners that have faced and addressed the challenge of combining diverse methods for knowledge representations in different domains, and for different tasks with Knowledge Graphs by Linked Data experts with the goal of creating and sharing a set of best practices for generating and maintaining KGs. This workshop aims at bringing together research and industry communities working on the different aspects of Knowledge Graph evolution and dynamics, data semantics, and standards-based solutions for the Internet and Web of Things.

See https://mondecalabs.github.io/KOGPIT19/#section-intro for details



### Topics of Interest ###


Include, but not limited to

Dynamic Knowledge Graphs curation and improvement

Ontology evolution

Knowledge Graph applications, and use cases

Ontology, and data quality assessment methodologies and tools

Knowledge Graph evaluation methodologies and tools

Linked Data Quality assessment and improvement methodologies and tools

Temporal knowledge extraction, knowledge evolution

Knowledge Graph Embedding techniques

iot.schema.org, Knowledge Graph for Internet of Things (IoT)

Ontology catalogs for Internet of Things (IoT)

Semantic interoperability for Internet of Things (IoT)



[Full topic list on the website: https://mondecalabs.github.io/KOGPIT19/#section-cfp ]


### Submission Guidelines ###


The submissions must be written in English using the Springer style (LNCS/CCIS one-column page format). We receive full papers (12-15 pages), short papers (6-8 pages) and demos (2-4 pages). Please note that HTML+RDFa contributions are also welcome as long as the layout complies with the LNCS style.  See https://mondecalabs.github.io/KOGPIT19/#section-submission  for details.


### Organizers and PC ###

Workshop Chairs:

Ghislain Atemezing (Mondeca, France)

Amrapali Zaveri (Maastricht University Institute of Data Science, Netherlands)

Amelie Gyrard (Kno.e.sis, Wright State University, USA)

Swati Padhee (Kno.e.sis, Wright State University, USA)


Advisors:

Amit Sheth (Kno.e.sis, Wright State University, USA)

Dan Brickley (Google, USA)


[ Full list of PC at https://mondecalabs.github.io/KOGPIT19/#section-pc ]


--

"Love all, trust a few, do wrong to none" (W. Shakespeare)


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