Abstract
The origin of data (data provenance), should always be measured or categorized within the context of trusting the source of data. Can we be sure that the information we receive is trustworthy and reliable? Is the source trustable? Is the data certain? And how important is the received data the our current and next step of processing? We face these questions in the context of knowledge processing systems by developing a convenient approach to bring all these questions and values – trustability, certainty, importance – into a computable, measurable, and comparable way of expression. Not yet facing the question “How to compute trust or certainty?”, but how to incorporate and process their measured values in knowledge processing systems to receive a representative view on the whole environment and its output.
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Notes
- 1.
In our work, we combine the data and information layer, referring to the Data-Information-Knowledge-Wisdom (DIKW) architecture in [12] from Russell Lincoln Ackoff, so data has the role of information and belongs to the information layer.
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Acknowledgments
The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no.604659.
The authors would like to thank all partners in CLAFIS [14] for the good cooperation within the project. The collaboration between experts from different fields made it possible, to write a paper with this content. Special thanks to our colleagues from LUKE in Finland for the development of the DPM (disease pressure model) to give a possibility, to apply the approach on a practical and real world scenario in our current project-work.
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Jäger, M., Phan, T.N., Huber, C., Küng, J. (2016). Incorporating Trust, Certainty and Importance of Information into Knowledge Processing Systems – An Approach. In: Dang, T., Wagner, R., Küng, J., Thoai, N., Takizawa, M., Neuhold, E. (eds) Future Data and Security Engineering. FDSE 2016. Lecture Notes in Computer Science(), vol 10018. Springer, Cham. https://doi.org/10.1007/978-3-319-48057-2_1
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DOI: https://doi.org/10.1007/978-3-319-48057-2_1
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