Header

UZH-Logo

Maintenance Infos

Monetization Strategies for the Web of Data


Grubenmann, Tobias (2018). Monetization Strategies for the Web of Data. In: The 2018 Web Conference PhD Symposium, Lyon, 23 April 2018 - 23 April 2018.

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 donations—two important financial motors in the World Wide Web—do 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 data—commercial and sponsored data—which 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.

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 donations—two important financial motors in the World Wide Web—do 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 data—commercial and sponsored data—which 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.

Statistics

Downloads

31 downloads since deposited on 09 Mar 2018
31 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:23 April 2018
Deposited On:09 Mar 2018 09:08
Last Modified:31 Jul 2018 05:35
Publisher:IW3C2
OA Status:Green
Other Identification Number:merlin-id:16207

Download

Download PDF  'Monetization Strategies for the Web of Data'.
Preview
Content: Published Version
Filetype: PDF
Size: 385kB
Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)