The Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases

Portmann, Edy; Kaltenrieder, Patrick (2015). The Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases. In: Pedrycz, Witold; Chen, Shyi-Ming (eds.) Information Granularity, Big Data, and Computational Intelligence. Studies in Big Data: Vol. 8 (pp. 325-346). Cham: Springer International Publishing 10.1007/978-3-319-08254-7_15

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This chapter presents fuzzy cognitive maps (FCM) as a vehicle for Web knowledge aggregation, representation, and reasoning. The corresponding Web KnowARR framework incorporates findings from fuzzy logic. To this end, a first emphasis is particularly on the Web KnowARR framework along with a stakeholder management use case to illustrate the framework’s usefulness as a second focal point. This management form is to help projects to acceptance and assertiveness where claims for company decisions are actively involved in the management process. Stakeholder maps visually (re-) present these claims. On one hand, they resort to non-public content and on the other they resort to content that is available to the public (mostly on the Web). The Semantic Web offers opportunities not only to present public content descriptively but also to show relationships. The proposed framework can serve as the basis for the public content of stakeholder maps.

Item Type:	Book Section (Book Chapter)
Division/Institute:	03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems 03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management
UniBE Contributor:	Portmann, Edy, Kaltenrieder, Patrick
Subjects:	000 Computer science, knowledge & systems 300 Social sciences, sociology & anthropology > 330 Economics 600 Technology > 650 Management & public relations
ISBN:	978-3-319-08254-7
Series:	Studies in Big Data
Publisher:	Springer International Publishing
Projects:	[388] Knowledge Aggregation, Representation and Reasoning
Language:	English
Submitter:	Sara D'Onofrio
Date Deposited:	01 Oct 2014 10:44
Last Modified:	05 Dec 2022 14:37
Publisher DOI:	10.1007/978-3-319-08254-7_15
Uncontrolled Keywords:	computational intelligence, fuzzy cognitive maps, granular computing, graph databases, stakeholder management
URI:	https://boris.unibe.ch/id/eprint/58837