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Author Madnick, Stuart E. ♦ Zhu, Hongwei
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract The web has become the largest data repository on the planet. An important factor contributing to its success is its openness and ease of use: anyone can contribute data to, and consume data from, the Web. As Tim Berners-Lee, inventor of the Web, said, "the exciting thing is serendipitous reuse of data: one person puts data up there for one thing, and another person uses it another way." Such serendipitous data reuse is extremely valuable. Through reuse, new knowledge can be created, innovation and value-added services become possible. However, there have been efforts to regulate and legally challenge data reuse activities. The European Union (EU) has adopted the Database Directive to restrict unauthorized data extraction and reuse. In the U.S., Congress has considered six bills, all of which failed to pass into law. These legislative activities are summarized in Figure 1; more details are furnished later. The significant uncertainty and the international differences in database legislation have created serious challenges to the "serendipitous reuse of data." The dual purposes of this article, both related to the theme "one size does not fit all," are to: summarize the range of legislation in current use and proposed; and present an economic model for interpreting or recommending policy choices that depend on factors such as cost of database creation and level of database differentiation. As computing professionals continue to develop technologies (such as data extraction, Web mashups, Web services, and various Semantic Web technologies) to make data reuse much easier, it is important for us to understand the legal implications when applying these technologies for data reuse purposes.
Description Affiliation: Old Dominion University, Norfolk, VA (Zhu, Hongwei) || Massachusetts Institute of Technology, Cambridge, MA (Madnick, Stuart E.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 52
Issue Number 9
Page Count 6
Starting Page 123
Ending Page 128


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Source: ACM Digital Library