eKNOW 2022, The Fourteenth International Conference on Information, Process, and Knowledge Management

General page: https://www.iaria.org/conferences2022/eKNOW22.html

Submission page: https://www.iaria.org/conferences2022/SubmiteKNOW22.html

Event schedule: June 26 – 30, 2022

Contributions:

– regular papers [in the proceedings, digital library]

– short papers (work in progress) [in the proceedings, digital library]

– ideas: two pages [in the proceedings, digital library]

– extended abstracts: two pages [in the proceedings, digital library]

– posters: two pages [in the proceedings, digital library]

– posters:  slide only [slide-deck posted at www.iaria.org]

– presentations: slide only [slide-deck posted at www.iaria.org]

– demos: two pages [posted at www.iaria.org]

Submission deadline: March 12, 2022

Extended versions of selected papers will be published in IARIA Journals:  https://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: https://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: https://www.thinkmind.org

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions.
Before submission, please check and comply with the editorial rules: https://www.iaria.org/editorialrules.html

eKNOW 2022 Topics (for topics and submission details: see CfP on the site)

Call for Papers: https://www.iaria.org/conferences2022/CfPeKNOW22.html

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eKNOW 2022 Tracks (topics and submission details: see CfP on the site)

Knowledge fundamentals

Advanced topics in Deep/Machine learning

ML: Knowledge and Information processing using Machine Learning

Trends on annotation and extraction

Trends on news and social media

Trends on knowledge processing support and mechanisms

Knowledge identification and discovery

Knowledge management systems

Knowledge management (KM) and event processing (EP)

Knowledge semantics processing and ontology

Technological foresight and socio-economic evolution modelling

Process analysis and modeling

Process management

Information management

Decision support systems