Abstract
We propose to design a semi-automatic ontology building approach to create a new taxonomy of the digital economy based on a big data approach – harvesting data by scraping publicly available Web pages of digitally-focused business. The method is based on a small core ontology which provides the basic level concepts in business model. We try to use computational approaches to extracting Web data towards generating concepts and taxonomy of business models in the digital economy, which can help consequently address the important question while exploring new business models in big data era.
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Acknowledgment
The work presented in this paper is supported by NEMODE Network + Pilot Study: A Computational Taxonomy of Business Models of the Digital Economy (P55805).
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Wu, C., Cai, Y., Zhao, M., Huang, S., Guo, Y. (2016). Generating Computational Taxonomy for Business Models of the Digital Economy. In: Gao, H., Kim, J., Sakurai, Y. (eds) Database Systems for Advanced Applications. DASFAA 2016. Lecture Notes in Computer Science(), vol 9645. Springer, Cham. https://doi.org/10.1007/978-3-319-32055-7_11
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DOI: https://doi.org/10.1007/978-3-319-32055-7_11
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