Auto-complete for Improving Reliability on Semantic Web Service Framework

  • Hanmin Jung
  • Mi-Kyoung Lee
  • Won-Kyung Sung
  • Beom-Jong You
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5618)


This paper presents two methods for enhancing auto-complete which providing search keywords that the user wants. The first is to display only search keywords that can guarantee a successful search result in real time regardless of document’s insertion, deletion, and update. The second is to display search keywords with their entity types such as person, institution, and topic. To accomplish them, we introduce an auto-complete table that stores the entities extracted and indexed from input documents and their document frequency (DF). An auto-complete manager checks whether each entity in the table can guarantee a successful search result or not by considering its DF, and provides proper entities with their types to the user. To verify the effect of the auto-complete, we are designing a comparative experiment. OntoFrame 2007 without the functions will be compared with OntoFrame 2008 with the functions for discovering the effect of our auto-complete on the reliability of Semantic Web services.


Auto-complete Semantic Web Semantic Web Framework OntoFrame Reliability Document Indexing 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hanmin Jung
    • 1
  • Mi-Kyoung Lee
    • 1
  • Won-Kyung Sung
    • 2
  • Beom-Jong You
    • 1
  1. 1.Information Technology Research Lab., KISTIKorea
  2. 2.Dept. of Policy Research, KISTIKorea

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