Boris Pasternak

1995, published paper (ICDAR'95), 4 pages (long version: 15 pages), English text

Abstract:

The objective of this paper is to demonstrate how taxonomic structures in knowledge representation can be exploited for drawing interpretation tasks. After a brief survey of the different levels of knowledge representation used by today's interpretation systems, some basic assumptions about the nature of drawing interpretation and the representation of knowledge will be discussed. Based on these widely valid assumptions, the advantages of an explicit declaration of the objects' taxonomy and partonomy (part-of relations) will be presented. In addition to the obvious results of a better readability and maintainability of the represented knowledge, it shall be shown how a complete and correct interpretation strategy can be automatically derived from only a handful of declarations. By this declarative approach the paper might shed some light on the special role of drawing interpretation as an mediator between the graphical and the applicational world. Taking into account this duality the paper introduces two different schemes of taxonomy and tries to establish rules for reasoning on dual taxonomies.