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The Construction Approach of Statutes Database

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Data Science (ICPCSEE 2018)

Abstract

The storage of statutes is a preliminary and essential work for Chinese text processing, which plays an important role in legal area. Nowadays, there are not specific databases for statutes. Most existing database of statutes focus on using the traditional methods and not put the focus-point on the judgment documents itself, which language features and writing formats are unique. In this paper, we proposed a strategy to construct database in the basis of statutes. We defined a series of rules under the study of structure on statutes. We chose the statutes with good formats and do some preprocessing before constructing database and proposed a method to solve the problem of granularity and wrong classification based on statutes. We defined several parameters according to the research on the judgement documents. Moreover, we combined the dependencies between statutes and found inner relationship between single statute. The experiments on the three types of law show that the result of the database we constructed obtains a good consequence and can store enough legal statutes.

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References

  1. Batini, C., Ceri, S., Navathe, S.B.: Conceptual Database Design: An Entity-Relationship Approach. Addison-Wesley, Boston (1991)

    MATH  Google Scholar 

  2. Navathe, S., Ceri, S., Wiederhold, G., et al.: Vertical partitioning algorithms for database design. ACM Trans. Database Syst. 9(4), 680–710 (1984)

    Article  Google Scholar 

  3. Zilio, D.C., Rao, J., Lightstone, S., et al.: DB2 design advisor: integrated automatic physical database design. In: Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB Endowment, vol. 30, pp. 1087–1097. Morgan Kaufmann (2004)

    Google Scholar 

  4. Goelman, D., Dietrich, S.W.: A Visual introduction to conceptual database design for all. In: Proceedings of the 49th ACM Technical Symposium on Computer Science Education, pp. 320–325. ACM (2018)

    Google Scholar 

  5. Rodriguez, J., Malgapo, A., Quick, J., et al.: Distributed architecture of mobile gis application using NoSQL database. J. Comput. Sci. Coll. 33(3), 68 (2018)

    Google Scholar 

  6. Brossier, D., El Taani, R., Sauthier, M., et al.: Creating a high-frequency electronic database in the PICU: the perpetual patient. Pediatr. Crit. Care Med. 19, 189–198 (2018)

    Article  Google Scholar 

  7. Alotaibi, Y., Ramadan, B.: A novel normalization forms for relational database design throughout matching related data attribute (2017)

    Google Scholar 

  8. Alzarka, B., Morizono, H., Bollman, J.W., et al.: Design and implementation of the hepatorenal fibrocystic disease core center clinical database: a centralized resource for characterizing autosomal recessive polycystic kidney disease and other hepatorenal fibrocystic diseases. Front. Pediatr. 5, 80 (2017)

    Article  Google Scholar 

  9. Fleri, W., Paul, S., Dhanda, S.K., et al.: The immune epitope database and analysis resource in epitope discovery and synthetic vaccine design. Front. Immunol. 8, 278 (2017)

    Article  Google Scholar 

  10. Bouzeghoub, M., Gardarin, G., Métais, E.: Database design tools: an expert system approach. In: Proceedings of the 11th International Conference on Very Large Data Bases, VLDB Endowment, vol. 11, pp. 82–95 (1985)

    Google Scholar 

  11. Chen, P.: The entity-relationship approach to logical database design (1991)

    Google Scholar 

  12. Leach, P.J., Mealling, M., Salz, R.: A universally unique identifier (UUID) URN namespace (2005)

    Google Scholar 

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Acknowledgements

This work was supported by the National Key R&D Program of China (2016YFC0800803).

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Correspondence to Jidong Ge .

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© 2018 Springer Nature Singapore Pte Ltd.

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Yao, L. et al. (2018). The Construction Approach of Statutes Database. In: Zhou, Q., Gan, Y., Jing, W., Song, X., Wang, Y., Lu, Z. (eds) Data Science. ICPCSEE 2018. Communications in Computer and Information Science, vol 901. Springer, Singapore. https://doi.org/10.1007/978-981-13-2203-7_11

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  • DOI: https://doi.org/10.1007/978-981-13-2203-7_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2202-0

  • Online ISBN: 978-981-13-2203-7

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