Artificial Intelligence
A knowledge based line recognition system
Pattern Recognition Letters
Maris: map recognition input system
Pattern Recognition
Knowledge-Directed Interpretation of Mechanical Engineering Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
KADS: a modelling approach to knowledge engineering
Knowledge Acquisition - Special issue on the KADS approach to knowledge engineering
Knowledge-based systems analysis and design
Knowledge-based systems analysis and design
Knowledge-based interpretation of utility maps
Computer Vision and Image Understanding
Knowledge-based image understanding systems: a survey
Computer Vision and Image Understanding
Empirical Performance Evaluation of Graphics Recognition Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
What Should the User Do? Inference Structures and Line Drawing Interpretation
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
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Image understanding systems rely heavily on a priori knowledge of their application domain, often exploiting techniques developed in the wider field of knowledge-based systems (KBSs). Despite attempts, typified by the KADS/CommonKADS projects, to develop structured knowledge engineering approaches to KBS development, those working in image understanding continue to employ unstructured 1st generation KBS methods. We analyse some existing image understanding systems, concerned with the interpretation of images of line drawings, from a knowledge engineering perspective. Attention focuses on the relationship between the structure of the systems considered and the KADS/CommonKADS models of expertise, sometimes called generic task models. Mappings are identified between each system and an appropriate task model, identifying common inference structures and use of knowledge. This is the first step in the acquisition of models of the expertise underpinning drawing interpretation. Such models would bring significant benefits to the design, maintenance and understanding of line drawing interpretation systems.