The LEMO annotation framework: weaving multimedia annotations with the web

  • Authors:

  • Bernhard Haslhofer;Wolfgang Jochum;Ross King;Christian Sadilek;Karin Schellner

  • Affiliations:

  • University of Vienna, Department of Distributed and Multimedia Systems, Vienna, Austria;University of Vienna, Department of Distributed and Multimedia Systems, Vienna, Austria;Austrian Research Centers GmbH, ARC, Digital Memory Engineering, Seibersdorf, Austria;Austrian Research Centers GmbH, ARC, Digital Memory Engineering, Seibersdorf, Austria;Vienna, Austria

  • Venue:
  • International Journal on Digital Libraries
  • Year:
  • 2009

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Abstract

Cultural institutions and museums have realized that annotations contribute valuable metadata for search and retrieval, which in turn can increase the visibility of the digital items they expose via their digital library systems. By exploiting annotations created by others, visitors can discover content they would not have found otherwise, which implies that annotations must be accessible and processable for humans and machines. Currently, however, there exists no widely adopted annotation standard that goes beyond specific media types. Most institutions build their own in-house annotation solution and employ proprietary annotation models, which are not interoperable with those of other systems. As a result, annotation data are usually stored in closed data silos and visible and processable only within the scope of a certain annotation system. As the main contribution of this paper, we present the LEMO Annotation Framework. It (1) provides a uniform annotation model for multimedia contents and various types of annotations, (2) can address fragments of various content-types in a uniform, interoperable manner and (3) pulls annotations out of closed data silos and makes them available as interoperable, dereferencable Web resources. With the LEMO Annotation Framework annotations become part of the Web and can be processed, linked, and referenced by other services. This in turn leads to even higher visibility and increases the potential value of annotations.