Generating Computational Taxonomy for Business Models of the Digital Economy

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 basi...

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Bibliographic Details
Published inDatabase Systems for Advanced Applications pp. 126 - 133
Main Authors Wu, Chao, Cai, Yi, Zhao, Mei, Huang, Songping, Guo, Yike
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2016
SeriesLecture Notes in Computer Science
Subjects
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ISBN9783319320540
3319320548
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-32055-7_11

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Summary: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.
ISBN:9783319320540
3319320548
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-32055-7_11