1. Cloud-based Knowledge Quality
Farzad Sabetzadeh
PhD Candidate
The Hong Kong Polytechnic University

2. Flashback
KNOWLEDGE
What is the Difference ?!!!!
MEASERABILITY
3. Pushing to the edge of envelop
Example of Semantic Web And Natural Language Disambiguation
4. Quality Problems
Objective
Subjective
Adopted and Developed From Eppler M.J. (2006) & Pierce et al. (2006)
5. What are we missing in Knowledge Quality ?
Example:
No one can eat just one !!!
6. Quality Metrics Comparison
Adopted From Pierce et al. (2006)
7. Why Quality Metrics are Different ?
Knowledge
Expectations = Uncertainty ?!!!!
Purposeful (Choice of Mean and End)
Chaotic
Information
Relations
Goal-Seeking (Choice of Mean but no choice of End)
Fuzzy
Data
Stimuli
Self-maintaining (No choice of Mean and End)
Crisp
8. Godel Incompleteness Theorem
If A is a theory based on an axiom B, B can not be proved to be a true statement within A; Thus A is an incomplete theory.
Data
Info
Info
Info
Knowledge
Info
Im alyawsinspried by the morinig sun
9. Quality Knowledge Perspective
Ontology Quality
Sharing Quality
Knowledge Item Quality
Knowledge Retainer Quality
Knowledge Usage Quality
10. Knowledge Quality Pathway
LinearityNon-linearity
We cant do much by direct corroborative reasoning on subjective matters like knowledge but we can get a better approximation for subjectivity through Scalable intersubjectivity (Social Cloud)
11. What is so-called Cloud ?
It can be dubbed as the ubiquitous locus of anything that can be available by virtual means
12. Why can Cloud Help ?
Adopted from Negnevitsky (2006)
13. Cloud Logic
Crowd Logic
Cloud Logic
Rule-based Reasoning
Case-based Reasoning
14. Quality & Uncertainty(Source : Maxim &Sluijs, 2011)
Location of Uncertainty
Uncertainty about process of knowledge production
Uncertainty about process of knowledge context
Source of Uncertainty
Lack of Knowledge
Variability
Expert Subjectivity
Communication Patterns
15. Cloud and Uncertainty(Source : TomKoulopoulos, Delphi Group @http://www.delphigroup.com/)
16. Cloud, Quality & Uncertainty(Source : Maxim & Sluijs, 2011)
17. The Big Picture(Source : Nova Spivack @ http://mindingtheplanet.net)
18. TheCrowdToCloudJourney
Co-Evolution (MetaWeb)
Co-Creation (e.g Cloud Apps)
Collaboration (e.g. Web 2.0)
Cooperation (e.g Crowdsourcing)
19. Published References

Boisot, M., MacMillan, I.C & Han, K.S., (2007) Exploration in Information Space : Knowledge, Agents and OrganizationOxford University Press.

20. Eppler, M.J. (2006) Managing Information quality : Increasing the value of information in knowledge-intensive products and processes, Springer. 21. Maxim, L. & Sluijs J. P. (2011) Quality in environmental science for policy: Assessing uncertainty as a component of policy analysis Journal of Environmental Policy and Science, Article in Press 22. Melkas, H. & Harmaakorpi, V. ((2008) Data, information and knowledge in regional innovation networks Quality considerations and brokerage functions, European Journal of Innovation Management, Vol.11, No.1, pp.103-124 23. Negnevitsky, M. (2005) Artificial Intelligence : A Guide To Intelligent Systems, Addison Wesley, Pearson Education 24. Pierce, E., Kahn, B. & Melkas, H. (2006) A Comparison of Quality Issues for Data Information and Knowledge, IRMA International conference Proceeding, IGI group, pp. 60-62