• Title/Summary/Keyword: 어노테이션 위치재생성

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Annotation Repositioning Methods in XML Documents (XML문서에서 어노테이션의 위치재생성 기법)

  • Sohn Won-Sung;Kim Jae-Kyung;Ko Myeong-Cheol;Lim Soon-Bum;Choy Yoon-Chul
    • Journal of KIISE:Software and Applications
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    • v.32 no.7
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    • pp.650-662
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    • 2005
  • A robust repositioning method is required for annotations to always maintain proper positions when original documents were modified. Robust anchoring in the XML document provides better anchoring results when it includes features of structured documents as well as annotated texts. This paper proposes robust annotation anchoring method in XML document. To do this, this work presents annotation information as logical structure trees, and creates candidate anchors by analyzing matching relations between the annotation and document trees. To select the appropriate candidate anchor among many candidate anchors, this work presents several anchoring criteria based on the textual and label context of anchor nodes in the logical structure trees. As a result, robust anchoring is realized even after various modifications of contexts in the structured document.

A Voice-Annotation Technique in Mobile E-book for Reading-disabled People (독서장애인용 디지털음성도서를 위한 음성 어노테이션 기법)

  • Lee, Kyung-Hee;Lee, Jong-Woo;Lim, Soon-Bum
    • Journal of Digital Contents Society
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    • v.12 no.3
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    • pp.329-337
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    • 2011
  • Digital talking book has been developed to enhance reading experiences for reading-disabled people. In the existing digital talking book, however, annotations can be created only through the screen interfaces. Screen annotation interfaces is of no use for reading-disabled people because they need reader's eyesight. In this paper, we suggest a voice annotation technique can create notes and highlights at any playing time by using hearing sense and voice command. We design a location determination technique that pinpoints where a voice annotation should be placed in the playing sentences. To verify the effectiveness of our voice annotation technique, we implement a prototype in an android platform. We can find out by the black-blindfolded users testing that our system can perfectly locate the exact position that a voice annotation should be placed into.