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Facilitating information exchange in assembly assistance by recommending contextualized annotations

: Alm, Rebekka; Urban, Bodo

Fulltext (PDF; )

Know-Center Graz:
First Workshop on Recommender Systems and Big Data Analytics, RS-BDA 2016. Online resource : Co-located with I-KNOW 2016, October 11-12, 2017, Graz
Graz, 2016
8 pp.
Workshop on Recommender Systems and Big Data Analytics (RS-BDA) <1, 2016, Graz>
International Conference on Knowledge Technologies and Data-Driven Business (i-KNOW) <16, 2016, Graz>
Conference Paper, Electronic Publication
Fraunhofer IGD ()
Fraunhofer IGD-R ()
annotation; information management; ontologies; data exchange; Lead Topic: Digitized Work; Research Line: Human computer interaction (HCI)

To maintain an equally high quality and efficiency in production processes despite the increased flexibility, information and knowledge are the company's strategically most important resources today. At the same time the intellectual re- sources are difficult to capture and manage, thus requiring intelligent assistance systems that support the individuals by providing suitable means for interacting with information. Therefore, it is of great importance to find an easy and fast way to record and store "new" information, as well as to provide a sensible mechanism to provide the information when needed.
We propose to use annotations in combination with a formalized knowledge base that represents the work domain to enable an intuitive (semi-)automatic information contextualization. This pre-condition enables a context-based an- notation recommendation allowing for the annotations to be provided automatically for a better information communication. We propose a framework to integrate different factors to measure the relevance of an annotation according to a given situation and illustrate the results of our work using the example of an assembly assistance system.