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Miloslav Beňo


  

Miloslav Beno

Miloslav graduated at Faculty of Mathematics and Physics at Charles University in Prague, Czech Republic with one year at Universidad Politécnica de Valencia at Spain. He worked on couple of important projects for significant Czech and international companies. His professional focus is application/web development mainly on .NET platform – analyzing and designing optimized software solutions. He is also interested in semantic web technologies and compilers of dynamic languages.


Publications

  • Miloslav Beňo
    Implementing the Dynamic Languages using DLR Technology
    Charles University in Prague, 2010
  • Miloslav Beňo, Jakub Míšek, Filip Zavoral:
    AgentMat: Framework for Data Scraping and Semantization,
    Proceedings of the Third International Conference on Research Challenges in Information Science, IEEE Computer Society Press, 2009
  • Adam Abonyi, Daniel Balaš, Miloslav Beňo, Jakub Míšek, Filip Zavoral:
    Phalanger Improvements,
    Technical report 2009/5, Department of Software Engineering, Faculty of Mathematics and Physics, Charles University in Prague, 2009

Projects

  • PHP Tools - www.devsense.com/products/php-tools
    PHP Tools is lightweight PHP integration for Visual Studio focused on developer productivity. The integration understands your code, provides smart code completion, quick navigation, syntax error checking, integrated PHP documentation and more.
  • Phalanger - www.php-compiler.net, phalanger.codeplex.com
    Phalanger is a new PHP implementation introducing the PHP language into the family of compiled .NET languages. It provides PHP applications an execution environment that is fast and extremely compatible with the vast array of existing PHP code. Phalanger gives web-application developers the ability to benefit from both the ease-of-use and effectiveness of the PHP language and the power and richness of the .NET platform taking profit from the best from both sides.
  • AgentMat – Framework for Data Scraping and Semantization -
    www.devsense.com/research/semantization/agentmat/
    This system is designed for efficient extraction of large amount of data from the web pages. AgentMat processing is based on an XML-based language describing the given extraction task in a declarative way. The task description consists of system components, which connected together are able to perform the desired functionality on a general web page. Thanks to this scraping system the raw contents from the irregularly updated and unstructured web pages can be kept categorized and accessed together with the semantic metadata.
  • LINQ to Web - linqtoweb.codeplex.com
    Using .NET and Language Integrated Query you can easily access information from various sources. The project is focused on generating abstraction over web resources, generating .NET classes and allowing to use LINQ for reading web in strongly typed object oriented way.

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