Abstract
Technical knowledge can be represented as a terminological database but such bases usually do not support contextual modeling, that’s why visual context is considered as one of the ways to represent technical knowledge in the structure of terminological databases. According to the author, iconicity and dynamism of visual context can serve as criteria of its identification. The analysis of technical articles has allowed identifying two types of visual contexts: knowledge-rich contexts and knowledge-poor contexts.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
