Mining Legislation: An Analysis of Legal and Technical Implications
Text mining is the process by which information and connections are obtained from large amounts of text using algorithms. ManyLaws is a project that seeks to increase the accessibility of legal information by offering innovative services. Although several text mining techniques for extracting and storing information exist, an in-depth analysis of the legal and technical issues regarding text mining of legislative information systems is still missing. This paper identifies and examines the legal and technical implications associated with the mining of legislative data, with a focus on copyright and database law. Possible solutions to mitigate the identified issues are also discussed.
Table of contents
- 1. Introduction
- 2. Existing Legislative Databases
- 3. The Text Mining Process
- 3.1. Design of the Text Mining Process
- 4. Legal and Technical Issues in Mining Legislative Databases
- 4.1. Technical Implications of the Text Mining Process
- 4.1.1. Accessibility and Availability of Data
- 4.1.2. Content Type
- 4.1.3. Content Output Type
- 4.1.4. Mitigation Methods for the identified Issues
- 4.2. Legal Implications of the Text Mining Process
- 4.2.1. Copyright Law
- 4.2.2. Database Law
- 5. Conclusion
- 6. References
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