A comple te s o f t w a r e system f o r automat ic d r a f t i n g encoding i s desc r i bed . T h i s system decomposes t h e o r i g i n a l d r a f t i n t o a g raph i c p r i m i t i ve -based d e s c r i p t i o n , s u i t a b l e f o r subsequent CAD process ing. Problems r e l a t i v e t o t h e b ina r i z a t i o n phase and t h e symbol r e c o g n i t i o n s t e p a r e a l s o ...

In this paper, we describe an information science approach to drafting information privacy laws. Information scientists can contribute to the design of these laws not as mere technical experts, but rather as collaborators in design and construction of the legal text. Specifically, this paper concentrates on rules governing the handling of personal identifiable information (PII). First, we devel...

The concept of ‘agility’ has become quite popular in the development of IT-artefacts and has created interest in the more general project management literature. The process of drafting complex contracts for large IT projects (service as well as software) is often done under time pressure and in several parallel tracks using different competencies. By the use of an illustrative case-study, this ...

In aggregates of objects moving through a fluid, bodies downstream of a leader generally experience reduced drag force. This conventional drafting holds for objects of fixed shape, but interactions of deformable bodies in a flow are poorly understood, as in schools of fish. In our experiments on "schooling" flapping flags, we find that it is the leader of a group who enjoys a significant drag r...

The problem of Intelligent Machine Draft ing is presented, and a description of an existing implementation as part of a graphical generator function is given. The concept of Graphical Deep Knowledge is defined as a representational basis for Intelligent Machine Draft ing problems as wel l as for physical object displays. A (partial) task domain analysis for Graphical Deep Knowledge is presented...