QuantNet – a Database-Driven Online Repository of Scientific Information

26 Pages Posted: 9 Jan 2017

See all articles by Anton Andriyashin

Anton Andriyashin

Humboldt University of Berlin - Center for Applied Statistics and Economics

Wolfgang K. Härdle

Blockchain Research Center; Xiamen University - Wang Yanan Institute for Studies in Economics (WISE); Charles University; National Chiao Tung University; Humboldt University of Berlin - Center for Applied Statistics and Economics (CASE)

Date Written: July 13, 2007

Abstract

In this study a framework for an online database-driven repository of information – QuantNet – is presented. QuantNet is aimed at easing the process of web publishing for those who are unfamiliar with technical details and markup languages. At the same time advanced users are provided with easy user style markup tools while flexible and trouble-free application administration is being a top priority. In this realm a special emphasis is put on the construction of a metalanguage containing only simplest possible structures. Different stages – from low-level text processing via Atox to the transformation of XML documents via XSLT, PHP and mySQL – are thoroughly described. The motivation for further possible application extensions like DTD or preliminary document check, based on analytic grammar form, is provided.

Keywords: QuantNet, database-driven, online, repository, XML, XSLT, PHP, mySQL, Atox

JEL Classification: C88, C89

Suggested Citation

Andriyashin, Anton and Härdle, Wolfgang K., QuantNet – a Database-Driven Online Repository of Scientific Information (July 13, 2007). Available at SSRN: https://ssrn.com/abstract=2894335 or http://dx.doi.org/10.2139/ssrn.2894335

Anton Andriyashin

Humboldt University of Berlin - Center for Applied Statistics and Economics ( email )

Spandauer Strasse 1
Berlin, D-10178
Germany

Wolfgang K. Härdle (Contact Author)

Blockchain Research Center ( email )

Unter den Linden 6
Berlin, D-10099
Germany

Xiamen University - Wang Yanan Institute for Studies in Economics (WISE) ( email )

A 307, Economics Building
Xiamen, Fujian 10246
China

Charles University ( email )

Celetná 13
Dept Math Physics
Praha 1, 116 36
Czech Republic

National Chiao Tung University ( email )

No. 1001 Ta Hsueh Road
Hsinchu 300
Taiwan

Humboldt University of Berlin - Center for Applied Statistics and Economics (CASE)

Unter den Linden 6
Berlin, D-10099
Germany

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