Language visualisation: Applications and theoretical foundations of a primitive-based approach

Autor: D. Tallis, Lindsey Ford, Masoud Yazdani, Ajit Narayanan, D. Manuel
Rok vydání: 1995
Předmět:
Zdroj: Artificial Intelligence Review. 9:215-235
ISSN: 1573-7462
0269-2821
DOI: 10.1007/bf00849181
Popis: Language visualisation consists of using consistent and systematic mappings between language expressions and graphical forms, where the graphical forms constitute or convey the meaning of the expressions. Primitive-based applications are described for both natural and artificial language (story visualisation and program visualisation, respectively). On the basis of these and other applications some foundational concepts are identified in a bottom-up theory of visualisation. A universal visualisation system architecture is proposed, as is a basic visual object taxonomy for classifying any visualisation object. Also, preliminary steps are taken towards constructing a top-down theory.
Databáze: OpenAIRE