CLC number: TP391
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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SHAMOS Michael I.. Machines as readers: A solution to the copyright problem[J]. Journal of Zhejiang University Science A, 2005, 6(11): 1179-1187.
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Abstract: copyright and its international complications have presented a significant barrier to the universal Digital Library (UDL)’s mission to digitize all the published works of mankind and make them available throughout the world. We discuss the effect of existing copyright treaties and various proposals, such as compulsory licensing and the public lending right that would allow access to copyrighted works without requiring permission of their owners. We argue that these schemes are ineffective for purposes of the UDL. Instead, making use of the international consensus that copyright does not protect facts, information or processes, we propose to scan works digitally to extract their intellectual content, and then generate by machine synthetic works that capture this content, and then translate the generated works automatically into multiple languages and distribute them free of copyright restriction.
[1] Carbonell, J.G., Gallup, S.L., Harris, T.J., Higdon, J.W., Hill, D.A., Hudson, D.C., Nasjleti, D., Rennich, M.L., Andersen, P.M., Bauer, M.M., Busdiecker, III. R.F., Hayes, P.J., Huettner, A.K., McLaren, B.M., Nirenburg, I., Riebling, E.H., Schmandt, L.M., Sweet, J.F., Baker, K.L., Brownlow, N.D., Franz, A.M., Holm, S.E., Leavitt, J.R.R., Lonsdale, D.W., Mitamura, T., Nyberg, E.H., 2000. Integrated Authoring and Translation System. U.S. Patent 6,163,785.
[2] Kanellos, M., 2005. Google Dominates in Machine Translation Tests. CNET News.com, August 22. http://news.com.com/2100-1038_3-5841819.html.
[3] Pa, W.D., 2000. Twentieth Century Fox Film Corp. v. iCraveTV, 53 U.S.P.Q. 2d 1831.
[4] Pollack, M., 2002. Brief of Malla Pollack, Amicus Curiae Supporting Petitioners. Art. I, Sec. 8, Clause 8. http://cyber.law.harvard.edu/openlaw/eldredvashcroft/supct/amici/pollack.html.
[5] Wactlar, H.D., 1996. The next generation electronic library—Capturing the experience. ACM Computing Surveys, 28(4es). http://www.acm.org/pubs/citations/journals/surveys/1996-28-4es/a114-wactlar/.
Open peer comments: Debate/Discuss/Question/Opinion
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2012-10-19 17:32:41
Of all the articles on this topic your proved accurate and interesting. Keep up the good work.