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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Published in | Database Systems for Advanced Applications pp. 126 - 133 |
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Main Authors | , , , , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
2016
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
ISBN | 9783319320540 3319320548 |
ISSN | 0302-9743 1611-3349 |
DOI | 10.1007/978-3-319-32055-7_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. |
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ISBN: | 9783319320540 3319320548 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-319-32055-7_11 |