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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks
verfasst von : Michael Kaufmann, Andreas Waldis, Patrick Siegfried, Gwendolin Wilke, Edy Portmann, Matthias Hemmje
Erschienen in: Knowledge Science, Engineering and Management
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Abstract
Individual users are overwhelmed with a flood of data. Current big-data strategies focus mainly on organizational uses of data analytics. To address this gap, we focus on personal data management (PDM) in the era of big data and cloud computing. We are developing and testing a PDM software that enables individuals to construct a cross-platform knowledge network by semi-automatically connecting new relevant data to an existing network of interlinked digital objects. Because the cloud-based services that support our knowledge work are currently fragmented, we suggest an integrated federated platform for editing and searching the personal-knowledge context as a network. This forms a directed edge-labeled property multigraph that spans over all of the cloud-based data silos. We present a design and a proof-of-concept implementation of a PDM tool that allows the creation of a personal-knowledge network that incorporates digital objects from different cloud services.