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Harnessing semantic web technologies for solving the dilemma of content providers

Published: 01 September 2010 Publication History

Abstract

The current business model of online newspapers is to create content and publish it on the Web. Content in turn attracts users to the online presence of a newspaper. This attention of users is monetized by presenting advertisements to them. The revenue of online content providers is mainly generated by advertisement and strongly depends on the number of users consuming their content.
Therefore - in general - content providers aim to attract as many users as possible with their content. However, to a large extent content providers make their content only available on one individual site in an unstructured form and consequently limit the accessibility and reusability of their content. Several reasons for this exist, among them are the way news have been published in the past, intellectual property rights and the way advertisements are currently sold.
In this paper we inspect the current situation of online newspapers and propose solutions for the current dilemma of content providers. We illustrate how Semantic Web technologies can help content providers to open their content, i.e. making their content reusable and integrable for third parties, without loss in revenue.

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    I-SEMANTICS '10: Proceedings of the 6th International Conference on Semantic Systems
    September 2010
    281 pages
    ISBN:9781450300148
    DOI:10.1145/1839707
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 01 September 2010

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    Author Tags

    1. commercial aspects
    2. licensing
    3. linked data
    4. semantic web
    5. usage restrictions

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