Knowledge Management and Technology
This cluster of papers explores the representation and critique of the DIKW (Data, Information, Knowledge, Wisdom) hierarchy, with a focus on artificial intelligence, machine learning, environmental management, and health impact assessment. It delves into the interplay between data, information, knowledge, and wisdom in various domains and their implications for decision-making and problem-solving.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.