This is the project page for SecondString, an open-source Java-based package of approximate string-matching techniques. This code was developed by researchers at Carnegie Mellon University from the Center for Automated Learning and Discovery, the Department of Statistics, and the Center for Computer and Communications Security.
SecondString is intended primarily for researchers in information integration and other scientists. It does or will include a range of string-matching methods from a variety of communities, including statistics, artificial intelligence, information retrieval, and databases. It also includes tools for systematically evaluating performance on test data. It is not designed for use on very large data sets.
Editra is a multi-platform text editor with an implementation that focuses on creating an easy to use interface and features that aid in code development. Currently it supports syntax highlighting and variety of other useful features for over 60 programming languages.
Editra is freely available under the terms of the wxWindows Licence.
Currently the project is in the alpha development phase but test builds of "stable" points are available for download and trial as Windows and Mac OSX(Universal) binaries, currently other Unix and Linux based systems will have to install from source using the included setup script. Please feel free give it a try and to report bugs and request features.
Y. Yang, und X. Liu. SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, Seite 42--49. New York, NY, USA, ACM Press, (1999)
S. Shum, V. Uren, G. Li, B. Sereno, und C. Mancini. International Journal of Intelligent Systems (Special Issue on Computational Models of Natural Argument), 22 (1):
17-47(2007)
S. Bloehdorn, und A. Hotho. Proceedings of the MSW 2004 workshop at the 10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Seite 70-87. (August 2004)
A. Hotho, S. Staab, und G. Stumme. Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Volume 2838 von LNAI, Seite 217-228. Heidelberg, Springer, (2003)
F. Beil, M. Ester, und X. Xu. KDD '02: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, Seite 436--442. New York, NY, USA, ACM Press, (2002)