Summary of the paper

Title An Open Source Process Engine Framework for Realtime Pattern Recognition and Information Fusion Tasks
Authors Volker Fritzsch, Stefan Scherer and Friedhelm Schwenker
Abstract The process engine for pattern recognition and information fusion tasks, the\emph{pepr framework}, aims to empower the researcher to develop novelsolutions in the field of pattern recognition and information fusion tasks in atimely manner, by supporting reuse and combination of well tested andestablished components in an environment, that eases the wiring of distinctalgorithms and description of the control flow through graphical tooling. Theframework, not only consisting of the runtime environment, comes with severalhighly useful components that can be leveraged as a starting point in creatingnew solutions, as well as a graphical process builder that allows for easydevelopment of pattern recognition processes in a graphical, modeled manner.Additionally, numerous work has been invested in order to keep the entrybarrier with regards to extending the framework as low as possible, enablingdevelopers to add additional functionality to the framework in as less time aspossible.
Language Other
Topics Tools, systems, applications, Information Extraction, Information Retrieval, Other
Full paper An Open Source Process Engine Framework for Realtime Pattern Recognition and Information Fusion Tasks
Bibtex @InProceedings{FRITZSCH10.693,
  author = {Volker Fritzsch, Stefan Scherer and Friedhelm Schwenker},
  title = {An Open Source Process Engine Framework for Realtime Pattern Recognition and Information Fusion Tasks},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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