Using Service-oriented Architectures for Socio-Cultural Analysis

نویسندگان

  • David Garlan
  • Kathleen M. Carley
  • Bradley R. Schmerl
  • Michael W. Bigrigg
  • Orieta Celiku
چکیده

An emergent domain that raises some unique engineering challenges is that of software architectures to convert large bodies of unstructured data to human-usable knowledge, such as in the domain of socio-cultural information analysis. We report on an architecture based on Service-Oriented Architectures that we are applying in this domain. We list the requirements that such an architecture must support, describe our architecture for addressing them, and outline what we believe are the important engineering and research issues that must still be overcome.

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تاریخ انتشار 2009