The Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases

TitleThe Web KnowARR Framework: Orchestrating Computational Intelligence with Graph Databases
Publication TypeBook Chapter
Year of Publication2015
AuthorsPortmann, E, Kaltenrieder, P
EditorPedrycz, W, Chen, S-M
Book TitleInformation Granularity, Big Data, and Computational Intelligence
Series TitleStudies in Big Data
Volume8
Pagination325–346
PublisherSpringer International Publishing
CityCham
Keywordscomputational intelligence, fuzzy cognitive maps, granular computing, graph databases, stakeholder management
Abstract

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.

URLhttps://boris.unibe.ch/58837/