Semantic Enhancement: The Key to Massive and Heterogeneous Data Pools

نویسندگان

  • Violeta Damjanovic
  • Thomas Kurz
  • Rupert Westenthaler
  • Wernher Behrendt
  • Andreas Gruber
  • Sebastian Schaffert
چکیده

This paper surveys various semantic enhancement approaches and techniques in order to answer on demands of today’s massive and heterogeneous, Web-based Content Management Systems (CMS). Furthermore, this paper transfers results and shares our experiences in field gained through the development of the Interactive Knowledge Stack (IKS) (the EU FP7 IKS project), more specifically development of its subproject called the Apache Stanbol. Recently, we decided to make a step further and to provide integration of the IKS technology stack with our newly implemented Linked Media Framework (LMF) that stores and retrieves content and metadata for media resources and resource fragments in a unified way. Hence, this paper, discusses the initial integration points between the Apache Stanbol and the LMF, as well as the benefits they could gain from each other.

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تاریخ انتشار 2011