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.
Keywords
- Personal data management
- Big data
- Cloud computing
- Knowledge network
- Connectivism
This is a preview of subscription content, access via your institution.
Buying options
Notes
- 1.
Available at http://demo.ikc.today/nodeDetail.html (accessed September 1st, 2016).
References
De Filippi, P.: Big data, big responsibilities. Internet Policy Rev. 3 (2014)
Hilbert, M., López, P.: The world’s technological capacity to store, communicate, and compute information. Science 332, 60–65 (2011)
Hildebrandt, M., O’Hara, K., Waidner, M.: Personal data management – a structured discussion. In: Digital Enlightenment Yearbook 2013: The Value of Personal Data, pp. 270–287. IOS Press (2013)
Lehner, F.: Wissensmanagement: Grundlagen, Methoden und technische Unterstützung. Carl Hanser Verlag GmbH & Co. KG, Munich (2012)
Jones, W.: Personal information management. Annu. Rev. Inf. Sci. Technol. 41, 453–504 (2007)
Razmerita, L., Kirchner, K., Sudzina, F.: Personal knowledge management: the role of Web 2.0 tools for managing knowledge at individual and organisational levels. Online Inf. Rev. 33, 1021–1039 (2009)
Wiederhold, G.: Mediators in the architecture of future information systems. Computer 25, 38–49 (1992)
Milton, N., Shadbolt, N., Cottam, H., Hammersley, M.: Towards a knowledge technology for knowledge management. Int. J. Hum. Comput. Stud. 51, 615–641 (1999)
Shadbolt, N.: Knowledge technologies. Ingenia R. Acad. Eng. 8, 58–61 (2001)
Preece, A., Flett, A., Sleeman, D., Curry, D., Meany, N., Perry, P.: Better knowledge management through knowledge engineering. IEEE Intell. Syst. 16, 36–43 (2001)
Nemati, H.R., Steiger, D.M., Iyer, L.S., Herschel, R.T.: Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing. Decis. Support Syst. 33, 143–161 (2002)
Kephart, J.O., Chess, D.M.: The vision of autonomic computing. Computer 36, 41–50 (2003)
Nilsson, M., Palmér, M.: Conzilla - towards a concept browser. Department Computing Science, Centre for User Oriented IT Design, Royal Institute of Technology KTH, Stockholm (1999)
Young, R., Letch, N.: Knowledge contexts-through the theoretical lens of Niklas Luhmann. In: Proceedings of PACIS 2003 (2003)
Siemens, G.: Connectivism: a learning theory for the digital age. Int. J. Instr. Technol. Distance Learn. 2 (2005)
Codd, E.F., Date, C.J.: Interactive support for non-programmers: the relational and network approaches. In: Proceedings of the 1974 ACM SIGFIDET (Now SIGMOD) Workshop on Data Description, Access and Control: Data Models: Data-Structure-Set Versus Relational, pp. 11–41. ACM, New York (1975)
Angles, R., Gutierrez, C.: Survey of graph database models. ACM Comput Surv. 40, 1–39 (2008)
Berners-Lee, T.: Information management: a proposal. CERN (1989)
Nelson, T.: Literary Machines. Mindful Press, Swarthmore (1981)
Knauer, U.: Algebraic Graph Theory: Morphisms, Monoids and Matrices. De Gruyter, Berlin, Boston (2011)
Österle, H., Becker, J., Frank, U., Hess, T., Karagiannis, D., Krcmar, H., Loos, P., Mertens, P., Oberweis, A., Sinz, E.J.: Memorandum on design-oriented information systems research. Eur. J. Inf. Syst. 20, 7–10 (2010)
Acknowledgements
This research is funded by the Hasler Foundation (www.haslerstifung.ch) under the project “Intuitive Knowledge Connectivity” with grant number 15026.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Kaufmann, M., Waldis, A., Siegfried, P., Wilke, G., Portmann, E., Hemmje, M. (2016). Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks. In: Lehner, F., Fteimi, N. (eds) Knowledge Science, Engineering and Management. KSEM 2016. Lecture Notes in Computer Science(), vol 9983. Springer, Cham. https://doi.org/10.1007/978-3-319-47650-6_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-47650-6_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47649-0
Online ISBN: 978-3-319-47650-6
eBook Packages: Computer ScienceComputer Science (R0)