Knowledge Representation
Collaborative and distributed knowledge representation is essentially the job description for linked data. Linked data models are eminently suitable for automated reasoning, but some consideration needs to be given to representing these same models for people as well.
Concepts
It will be necessary to classify concepts for the purpose of reasoning. For example, we might want to consider some of the premises in an argument as evidence, and some of the conclusions as hypotheses. We’ll use SKOS for this purpose.
HTML
Facts laid out as text as on a web page for the human reader can be made accessible to a machine through semantic mark-up. In particular, RDFa allows linked data to be embedded in HTML.
See Also
- The Alan Turing Institute Knowledge representation research are and Knowledge graphs research interest group.