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Towards exploratory video search using linked data

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Abstract

Keyword-based search in general is particularly applicable if the searcher really knows what she is looking for and how to find it, i.e. to know the appropriate keywords to obtain the desired results. But in many cases either the objectives of the searcher are intrinsically fuzzy or she is not aware of the appropriate keywords. One way to solve this problem is to navigate and explore the search space along guided routes. In this paper we show, how Linked Open Data can be adopted to facilitate an exploratory semantic search for video data. We present a prototype implementation of exploratory video search and show how traditional keyword-based search can be augmented by the use of Linked Open Data.

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Notes

  1. http://www.google.com/

  2. Yovisto—Academic Video Search: http://www.yovisto.com/.

  3. http://www.freebase.com/labs/parallax/

  4. http://sparql.yovisto.com/

  5. Yovisto ontology: http://www.yovisto.com/ontology/0.9/.

  6. http://simile.mit.edu/seek/

  7. http://www.freebase.com/

  8. Simple Knowledge Organization Systems, a family of formal languages designed for representation of structured controlled vocabulary [26].

  9. Currently only supported by DBpedia dump files, and not by the SPARQL endpoint.

  10. Refers to version 3.5.1 of DBpedia.

  11. Currently, not all heuristics have been processed completely for the production system.

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Correspondence to Jörg Waitelonis.

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Waitelonis, J., Sack, H. Towards exploratory video search using linked data. Multimed Tools Appl 59, 645–672 (2012). https://doi.org/10.1007/s11042-011-0733-1

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