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Mashups for Web Search Engines

  • Chapter
Semantic Mashups

Abstract

Current practice in looking for information on the web states that searchers rely on large-scale web search engines to get assistance. The quality of the search results is analogous to the ability of the searchers to accurately express their information needs as keywords in the search engine’s input box. In this chapter, an attempt is made to explore the various efforts that have been made regarding the query construction/refinement phase of a search session on the web. Along these lines, a number of cases are presented that are based on intuitively created mashups for the underlying web search engine. Particular attention is given to two query construction/refinement mashups that integrate various DBpedia datasets with the web search engine provided by Google.

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Notes

  1. 1.

    http://alexa.com/topsites, accessed: 29.6.2012.

  2. 2.

    http://yippy.com.

  3. 3.

    http://www.stumpedia.com.

  4. 4.

    http://www.anoox.com.

  5. 5.

    http://www.irazoo.com.

  6. 6.

    http://www.mysidekick.com.

  7. 7.

    http://search.wikia.com.

  8. 8.

    http://www.dmoz.org.

  9. 9.

    http://www.alexa.com, accessed: 29.6.2012.

  10. 10.

    http://www.google.com/psearch.

  11. 11.

    http://www.google.com/instant.

  12. 12.

    http://msdn.microsoft.com/library/default.asp?url=/library/en-us/dnwui/html/iuiguidelines.asp.

  13. 13.

    http://tweetnews.appspot.com.

  14. 14.

    http://developer.yahoo.com/search/boss/.

  15. 15.

    http://news.yahoo.com/.

  16. 16.

    DBpedia ver. 3.8: http://blog.dbpedia.org/2012/08/06/dbpedia-38-released-including-enlarged-ontology-and-additional-localized-versions/.

  17. 17.

    http://dbpedia.org/sparql.

  18. 18.

    N3 notation (Berners-Lee T. Notation 3 (N3): a readable RDF syntax. http://www.w3.org/DesignIssues/Notation3.html).

  19. 19.

    http://wordnet.princeton.edu.

  20. 20.

    DBpedia’s dataset dumps are readily available for downloading from: http://wiki.dbpedia.org/Downloads32.

  21. 21.

    Demo, available at: http://thalassa.ionio.gr/snh/entry/.

  22. 22.

    For more details about the specific mashup, the reader is prompted to read [25].

  23. 23.

    http://www.google.com/cse/.

  24. 24.

    http://dbpedia.org/sparql.

  25. 25.

    http://dbpedia.org/lookup.

  26. 26.

    The mechanics of a highly competitive service like Google’s auto-suggest service are not formally described. Consequently, any attempt to interpret them is subjective.

  27. 27.

    How Google Instant auto-complete suggestions work: http://searchengineland.com/how-Google-instant-autocomplete-suggestions-work-62592.

  28. 28.

    Apart from the above factors there may be other, statistical factors that affect the quality of Google’s suggestions.

  29. 29.

    Wikipedia’s ‘ajax’ disambiguation article: http://en.wikipedia.org/wiki/Ajax.

  30. 30.

    http://lod-cloud.net.

  31. 31.

    http://www.freebase.com.

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Authors and Affiliations

  1. Department of Archives and Library Science, Ionian University, Ioannou Theotoki 72, Corfu, 49100, Greece

    Ioannis Papadakis

  2. Department of Informatics, University of Piraeus, Karaoli and Dimitriou 80, Piraeus, 18534, Greece

    Ioannis Apostolatos

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  1. Ioannis Papadakis
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Correspondence to Ioannis Papadakis .

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  1. Expo Plaza 12, Hannover, 30539, Niedersachsen, Germany

    Brigitte Endres-Niggemeyer

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Papadakis, I., Apostolatos, I. (2013). Mashups for Web Search Engines. In: Endres-Niggemeyer, B. (eds) Semantic Mashups. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36403-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-36403-7_3

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