Information Science: Evolution or Revolution?
Knowledge and technology are constantly evolving as a result of
research & development, including in Information Science. However,
recent fast progress in areas such as AI, quantum computing, and
extended reality might lead to a revolution in a short time, not
only to an evolution. How we collect and use information might
radically change. The impact, challenges, and concerns from the
use of advanced AI (e.g., large language models), more powerful
computing systems, and new digital worlds are common topics in our
discussions nowadays. They also affect other areas, including
security, ethics, and education. Is a revolution really about to
happen? Or is it only a new evolution? Will this depend on the
Information Science areas in which progress is made or those
affected? What role will base technologies such as data quality
models, machine learning, conceptual models, and ontologies play?
What will standards and best-practices need to consider?
Domain Knowledge Engineering (DKE)
A selection of the best accepted papers of RCIS 2024, chosen by a dedicated committee, will
be invited to submit an extended version of the RCIS paper to the Data & Knowledge
Engineering (DKE) journal published by Elsevier (
https://www.journals.elsevier.com/data-and-knowledge-engineering).
The selection of the papers to invite will be based on the review scores and arguments and
the potential for extension.
