Abstract
Data is increasingly important for companies to get insights, allowing to better serve their customers and to generate new business opportunities. The increase of data with all its hidden potential is so large, that to keep up in understanding that data, we need to scale up by involving the power of the (business) crowd. This starts with knowing what the data is and how it relates to other data. Renowned methods like Fact Based Modeling (FBM) require the participation of specialists, and take time before business people can benefit from this data knowledge. A new approach allows the business to do self-service modeling to quickly capture and share relevant knowledge about the data. This approach uses a checklist with questions, guiding the development of an informal model. Self-service modeling enables a crowd of people to describe their knowledge about data, scaling up the use of data and its hidden potential.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
UML: Unified Modeling Language. OWL: Web Ontology Language.
- 2.
Please note that the distinction between formal and informal models may be subjective as some may argue that FBM is not as formal as some other methods. In this paper, I consider FBM a formal modeling method.
References
Marr, B.: Data Strategy. Kogan Page Limited, London (2017)
Frisendal, T.: Graph Data Modeling for NoSQL and SQL, 1st edn. Technics Publications, Basking Ridge (2016)
Fact Based Modeling. http://www.factbasedmodeling.org/. Accessed 01 Aug 2018
SEBoK. Guide to Systems Engineering Body of Knowledge. http://www.sebokwiki.org. Accessed 01 Aug 2018
Novak, J.D., Cañas, A.J.: The Theory Underlying Concept Maps and How to Construct Them. Florida Institute for Human and Machine Cognition (IHMC) (2006)
Lemmens, I., Pleijsant, J.M., Arntz, R.: Using fact-based modelling to develop a common language. In: Ciuciu, I., et al. (eds.) OTM 2015. LNCS, vol. 9416, pp. 197–205. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-26138-6_23
Is-a. https://en.wikipedia.org/wiki/Is-a. Accessed 01 Aug 2018
W3C OWL Web Ontology Language Reference. https://www.w3.org/TR/owl-ref/. Accessed 01 Aug 2018
van Renssen, A.: Semantic Information Modelling Methodology. Gellish.net, Zoetermeer, The Netherlands (2015)
DAMA-DMBOK: Data Management Body of Knowledge, 2nd edn. Technics Publications, Basking Ridge (2017)
Ross, R.G.: How To Define Business Terms In Plain English: A Primer. Business Rule Solutions, LLC (www.BRSolutions.com) (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Pleijsant, J.M. (2019). Scale Your Information Modeling Effort Using the Power of the Crowd. In: Debruyne, C., Panetto, H., Guédria, W., Bollen, P., Ciuciu, I., Meersman, R. (eds) On the Move to Meaningful Internet Systems: OTM 2018 Workshops. OTM 2018. Lecture Notes in Computer Science(), vol 11231. Springer, Cham. https://doi.org/10.1007/978-3-030-11683-5_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-11683-5_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-11682-8
Online ISBN: 978-3-030-11683-5
eBook Packages: Computer ScienceComputer Science (R0)