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https://doi.org/10.1145/318455...
Article . 2018 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Conference object . 2018
License: CC BY
https://dx.doi.org/10.5167/uzh...
Other literature type . 2018
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Monetization Strategies for the Web of Data

Authors: Grubenmann, Tobias;

Monetization Strategies for the Web of Data

Abstract

Inspired by the World Wide Web, the Web of Data is a network of interlinked data fragments. One of the main advantages of the Web of Data is that all of its content is processable by machines. However, this also has its drawbacks when it comes to monetization of the content: advertisements and donationstwo important financial motors in the World Wide Webdo not translate into the Web of Data as they rely on exposing the user to advertisement/call for donations. The remedy this situation, we propose two different monetization strategies for the Web of Data. The first strategy involves a marketplace where users can buy data in an integrated way. The second strategy allows third parties to promote certain data. In return, the sponsors pay money whenever a user follows a link contained in the sponsored data. We identified two different kind of datacommercial and sponsored datawhich can benefit from the two respective monetization strategies. With our work, we propose solutions to the problem of financing the creation and maintenance of content in the Web of Data.

Country
Switzerland
Related Organizations
Keywords

10009 Department of Informatics, UZHDISS UZH Dissertations, 000 Computer science, knowledge & systems

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid