• DocumentCode
    3276961
  • Title

    Exploring semantic roles of Web interface components

  • Author

    Zhang, Kang ; Kong, Jun

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Texas at Dallas, Dallas, TX, USA
  • fYear
    2010
  • fDate
    3-5 Oct. 2010
  • Firstpage
    8
  • Lastpage
    14
  • Abstract
    The adaptability of Web interfaces in response to changes in the interaction context, display environments (e.g., mobile screens) and user´s personal preferences is becoming increasingly desirable due to the pervasive use of Web information. One of the major challenges in Web interface adaptation is to discover the semantic structure underlying a Web interface. This paper presents a robust and formal approach to recovering interface semantics using a graph grammar approach. Due to its distinct characteristics of spatial specification in the abstract syntax, the Spatial Graph Grammar (SGG) is used to perform semantic grouping and interpretation of segmented screen objects. We use the well-established image processing technology to recognize atomic interface objects in an interface image. The output is a spatial graph, which records significant spatial relations among recognized objects. Based on the spatial graph, the SGG parser recovers the hierarchical relations among interface objects and thus provides semantic interpretation suitable for adaptation.
  • Keywords
    graph grammars; image segmentation; object recognition; semantic Web; ubiquitous computing; user interfaces; SGG parser; Web interface adaptation; abstract syntax; formal approach; image processing technology; interface image; pervasive interaction; screen object segmentation; semantic structure; spatial graph grammar; Grammar; Image recognition; Image segmentation; Production; Semantics; Web pages; Interface adaptation; Web semantics; graph grammar; layout;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine and Web Intelligence (ICMWI), 2010 International Conference on
  • Conference_Location
    Algiers
  • Print_ISBN
    978-1-4244-8608-3
  • Type

    conf

  • DOI
    10.1109/ICMWI.2010.5647848
  • Filename
    5647848