A Knowledge Representation Practionary by Michael K. Bergman
Author:Michael K. Bergman
Language: eng
Format: epub
ISBN: 9783319980928
Publisher: Springer International Publishing
Typologies Are Expandable
A typology design for organizing entities can thus be visualized as a kind of accordion or squeezebox, expandable when detail requires, or collapsible to more coarse-grained when relating to broader views. Each class (type) within the typology can become a tie-in point for external information, providing a collapsible or an expandable scaffolding (the ‘accordion’ design). Via inferencing, multiple external sources may be related to the same typology, even though at different levels of specificity. Further, we may accommodate very detailed class structures in this design for domain-specific purposes. Moreover, because of the single tie-in point for each typology at its root, it is also possible to swap out entire typology structures at once, should design needs require this flexibility.
The idea of nested, hierarchical types organized into broad branches of different entity typologies also provides a very flexible design for interoperating with a diversity of worldviews and degrees of specificity. A typology design, logically organized and placed into a consistent grounding of attributes, can readily interoperate with these different worldviews. The photographer, as discussed above, is interested in different camera types and even how specific cameras can relate to a detailed entity typing structure. Another party more interested in products across the board may have a view to greater breadth, but lesser depth, about cameras and related equipment. A typology design, logically organized and placed into a consistent grounding of attributes, can readily interoperate with these different worldviews. Typologies for attributes and relations, as we have implemented in KBpedia, also extend this basis to include full data interoperability of attribute:value pairs.
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Computer Vision & Pattern Recognition | Expert Systems |
Intelligence & Semantics | Machine Theory |
Natural Language Processing | Neural Networks |
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