[CFP] Journal of Web Semantics Special Issue on Knowledge Engineering

All,

Together with Eva Blomqvist and Paul Groth, we are editing a special issue
on Knowledge Engineering for the Journal of Web Semantics.

Knowledge graphs are central to a variety of intelligent applications
including semantic search, recommendation, conversational agents and data
analytics. Their construction and maintenance is facilitated by complex
combinations of machine (e.g. information extraction, schema alignment) and
human (crowdsourcing, curation) components. While there is significant
previous work in the field of knowledge engineering, large-scale knowledge
graphs give rise to new questions about knowledge modelling and knowledge
acquisition, including the balance between humans and machines, and the
ability to maintain knowledge and data at scale. In that light, this
special issue seeks novel research in the area of knowledge engineering
that tackles the challenges presented by large scale knowledge graphs,

Topics of interest include (but are not limited to) the following:

● Knowledge engineering methodologies for human-machine teams
● Agile knowledge engineering and prototyping
● Knowledge engineering for machine learning
● Machine learning support for manual knowledge engineering
● Knowledge graph evolution and maintenance approaches
● The combination of modern software engineering and knowledge engineering
● Design patterns in the area of large-scale knowledge engineering
● Ontology debugging and diagnosis for knowledge at scale
● The combination of knowledge and data engineering
● User studies for knowledge engineering human-machine teams

Deadline: January 20, 2022.

More info:
https://www.journals.elsevier.com/journal-of-web-semantics/call-for-papers/knowledge-engineering

--
Juan Sequeda, Ph.D
www.juansequeda.com