Facilitating Order Creation in Distributed Organizing: Triggering Practices to Answer External Complexity

Part of the Markt- und Unternehmensentwicklung Markets and Organisations book series (MAU)


Semantic information systems are information systems which use any kind of ontology construction method in order to create or refine their underlying data schema. First, there are systems, which focus on representation, elicitation, and provision of data. Their aim is, thus, to cope with external complexity via codification mainly. Second, there are systems which focus on the recommendation and facilitation of interaction based on these data. However, the combination of both elements, i.e. facilitated interaction with data and automated extraction from user input, finds little recognition to date. The extraction of users’ cognitive maps is either limited to very focussed sets of entities and relations or they are not explicitly used to foster coordination in these systems.


Recommender System Application Programming Interface Semantic Data Recommender Engine Mender System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Fachmedien Wiesbaden 2014

Authors and Affiliations

  1. 1.Lehrstuhl Wirtschaftsinformatik IFAU Erlangen-NürnbergNürnbergGermany

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