Browsing Data Science Institute (Conference Papers) by Author "SUPER"

Now showing items 1-5 of 5

    • Discovery of Optimized Web Service Configurations Using a Hybrid Semantic and Statistical Approach 

      Zaremba, Maciej; Migdal, Jacek; Hauswirth, Manfred (IEEE, 2009)
      We present a Semantic Optimized Service Discovery (Se- mOSD) approach capable of handling Web service search requests on a fine-grained level of detail where we augment semantic service descriptions with statistically built ...

    • Innovative Solution to Service Discovery and Integration using WSMOLX 

      Zaremba, Maciej; Zaharia, Raluca; Vitvar, Tomas (Springer, 2008)
      WSMX is a Semantic Web services broker enabling dynamic discovery and agile B2B integration of enterprise services. Our framework enables on-demand service discovery encompassing frequently changing aspects like fine-grained ...

    • Semantic SOA to Promote Integration of Heterogeneous B2B Services 

      Vitvar, Tomas; Moran, Matthew; Zaremba, Maciej; Haller, Armin; Kotinurmi, Paavo (IEEE, 2007)
      Modeling the semantics of business services and their corresponding messages using ontologies enables flexible integration that is more adaptive to business-driven change. In this paper we demonstrate our approach building ...

    • Towards Optimized Data Fetching for Service Discovery 

      Zaremba, Maciej; Vitvar, Tomas; Moran, Matthew (IEEE, 2007)
      The advent of Service Oriented Architecture makes services the most flexible, platform-independent choice for exposing and integrating business functionality across a network. However, the lack of service discovery mechanisms, ...

    • WSMX: A Semantic Service Oriented Middleware for B2B Integration 

      Kotinurmi, Paavo; Moran, Matthew; Vitvar, Tomas; Zaremba, Maciej (Springer, 2006)
      In this paper we present a B2B integration scenario building on the principles of Semantic Web services. For this scenario we show the benefits of semantic descriptions used within the integration process to enable ...