Elon University
The prediction, in brief:

Trademark may turn out to be a far more important form of intellectual-property protection for the Net than copyright. An intellectual property-based brand or trademark is a kind of “standing wave” through which a changing body of content flows. A news magazine doesn’t own the news it reports; it owns its name and the point of view associated with that name.

Predictor: O'Reilly, Tim

Prediction, in context:

In a paper presented by Tim O’Reilly at INET ’95, a conference sponsored by the Internet Society in Honolulu, Hawaii, June 27-30, the publisher outlines his ideas about the future of Internet publishing: ”Trademark may turn out to be a far more important form of intellectual-property protection for the Net than copyright. An intellectual property-based brand or trademark is a kind of ‘standing wave’ through which a changing body of content flows. A news magazine doesn’t own the news it reports; it owns its name and the point of view associated with that name.”

Biography:

Tim O’Reilly was founder and first president of O’Reilly & Associates, a computer-book-publishing company that helped popularize the Internet in the decade of the 1990s. His Global Network Navigator site (GNN, which was sold to America Online in September 1995) was the first Web portal and one of the initial commercial sites on the World Wide Web. He received InfoWorld’s Industry Achievement Award in 1998 for his advocacy on behalf of the Open Source community. He served on the board of trustees for the Internet Society and the Electronic Frontier Foundation. (Entrepreneur/Business Leader.)

Date of prediction: June 1, 1995

Topic of prediction: Controversial Issues

Subtopic: Copyright/Intellectual Property/Plagiarism

Name of publication: ISOC INET '95 (conference)

Title, headline, chapter name: Publishing Models for Internet Commerce

Quote Type: Direct quote

Page number or URL of document at time of study:
http://www.isoc.org/HMP/PAPER/063/html/paper.html

This data was logged into the Elon/Pew Predictions Database by: Schmidt, Nicholas