DocumentCode
2297213
Title
An Automatic Semantic Segment Detection Service for HTML Documents
Author
Yang, Stephen J H ; Zhang, Jia ; Tsai, Stella T C
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Taipei
Volume
1
fYear
2008
fDate
7-11 July 2008
Firstpage
210
Lastpage
217
Abstract
To facilitate wide adoption of wireless devices for Internet access, it is important to enable the "develop once and use everywhere" trademark. This means that a Web page can be developed in HTML for presentation on desktop machines, and then be automatically adapted and displayed on any device including handheld devices. In this paper, we propose a mediator Web service that automatically adapts Web content into suitable formats based on receiving contexts. Our underpinning is a hierarchical semantic meta model and a semantic ontology that guide in partitioning a Web page into semantic segments, which refer to atomic units encapsulating one or more of the four types of semantically coherent elements in a content page: function (functionality related), typesetting (readability related), presentation relationship (space and time related), and literary context (semantics related). We also report our experiences in designing and implementing the mediator service. Our experimental results demonstrate that our service is effective and efficient in automatically transforming Web content into semantic-retained formats suitable to be displayed on handheld devices.
Keywords
Web services; Web sites; ontologies (artificial intelligence); semantic Web; HTML documents; Internet access; Web content; Web page; Web service; automatic semantic segment detection service; desktop machines; handheld devices; hierarchical semantic meta model; mediator service; semantic ontology; semantic-retained formats; wireless devices; Context modeling; Context-aware services; HTML; Handheld computers; Internet; Ontologies; Trademarks; Typesetting; Web pages; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Services Computing, 2008. SCC '08. IEEE International Conference on
Conference_Location
Honolulu, HI
Print_ISBN
978-0-7695-3283-7
Type
conf
DOI
10.1109/SCC.2008.155
Filename
4578466
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