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Contextualization and Recommendation of Annotations to Enhance Information Exchange in Assembly Assistance

 
: Alm, Rebekka

Journal of universal computer science : JUCS 23 (2017), No.9, pp.932-951
ISSN: 0948-695X
ISSN: 0948-6968
English
Journal Article
Fraunhofer IGD ()
Metadata; Knowledge management (KM); Digitized Work; Human computer interaction (HCI); assembly assistance

Abstract
Increasingly flexible production processes require intelligent assistance systems containing information and knowledge to maintain high quality and efficiency. To ensure a reliable supply of information, it is of great importance to find easy and fast ways to record and store "new" information, as well as to provide a sensible mechanism to supply the information when needed.

In this paper an approach is presented that uses annotations in combination with a formalized knowledge base that represents the work domain. This pre-condition enables a context-based annotation recommendation. A framework is proposed to integrate different factors to measure the relevance of an annotation according to a given situation. The approach is illustrated using the example of an assembly assistance system. To evaluate the users' attitude regarding annotations as instruction support and to test the system's capabilities when handling a great number of annotations some studies were performed and analyzed.

: http://publica.fraunhofer.de/documents/N-480341.html