A web-based transformation system for massive scientific data

  • Authors:

  • Shi Feng;Jie Song;Xuhui Bai;Daling Wang;Ge Yu

  • Affiliations:

  • College of Information Science and Engineering, Northeastern University, Shenyang, P.R. China;College of Information Science and Engineering, Northeastern University, Shenyang, P.R. China;College of Information Science and Engineering, Northeastern University, Shenyang, P.R. China;College of Information Science and Engineering, Northeastern University, Shenyang, P.R. China;College of Information Science and Engineering, Northeastern University, Shenyang, P.R. China

  • Venue:
  • WISE'06 Proceedings of the 7th international conference on Web Information Systems
  • Year:
  • 2006

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Abstract

In the domain of science research, a mass of data obtained and generated by instruments are in the form of text. How to make the best use of these data has become one of the issues for both nature science researchers and computer professions. Many of these data contain their logic structure inside, but they are different from the self-describing semi-structured data, for these data are separate from the schema. Because of the great increase of the data amount, the traditional way of studying on these data can not meet the needs of high performance and flexible access. Relational DBMS is a good technique for organizing and managing data. In this paper, a mapping model—STRIPE—between scientific text and relational database is proposed. Using STRIPE, we design and implement a Web-based massive scientific data transformation system, which gives a good solution to the problem of the massive scientific data management, query and exchange. The evaluation to the system shows that it can greatly improve the efficiency of scientific data transformation, and offer scientists a novel platform for studying the data.