The prediction, in brief:

Web content providers can only look to current legislation for protection of their content to a limited degree. Rather they need to use the medium itself if they want to limit the usage of the content. Web technology designers can provide a framework for making this possible. The web itself can be used to create most of the necessary intellectual protection. For example, in the case of re-publications on the web, web robots combined with pattern matching can automate the searching for identical or substantially similar work. The ability to overcome the limitations of legislation is now in the hands of web technology designers.

Predictor: Norderhaug, Terje

Prediction, in context:

In a paper presented at the third annual WWW Conference in 1995, Terje Norderhaug and Juliet M. Oberding of Media Design inProgress presented research titled, ÒDesigning a Web of Intellectual Property,Ó in which they assert that web technology undermines the protection of intellectual property. They write:ÒWeb content providers can only look to current legislation for protection of their content to a limited degree. Rather they need to use the medium itself if they want to limit the usage of the content. Web technology designers can provide a framework for making this possible. The web itself can be used to create most of the necessary intellectual protection. For example, in the case of re-publications on the web, web robots combined with pattern matching can automate the searching for identical or substantially similar work. The ability to overcome the limitations of legislation is now in the hands of web technology designers.Ó

Date of prediction: January 1, 1995

Topic of prediction: Controversial Issues

Subtopic: Copyright/Intellectual Property/Plagiarism

Name of publication: WWW Conference '95

Title, headline, chapter name: Designing a Web of Intellectual Property

Quote Type: Direct quote

Page number or URL of document at time of study:
www.igd.fhg.de/archive/1995_www95/proceedings/papers/95/webip.html

This data was logged into the Elon/Pew Predictions Database by: Guarino, Jennifer Anne