DocumentCode :
1256718
Title :
Embedded grammar tags: advancing natural language interaction on the Web
Author :
Dorai, Gautham K. ; Yacoob, Yaser
Author_Institution :
Inst. for Adv. Comput. Studies, Maryland Univ., College Park, MD, USA
Volume :
17
Issue :
1
fYear :
2002
Firstpage :
48
Lastpage :
53
Abstract :
Embedded grammar tags (EGTs) reflect Web page content by anticipating queries users might launch to retrieve that content. The grammars provide a unifying component for speech recognition engines, semantic Web page representation, and speech output generation. We propose a new framework that lets intelligent agents discover accurate, concise responses to natural language queries. This framework´s backbone consists of embedded grammar tags that capture natural language queries. EGTs reflect information content in Web pages by anticipating the queries that users might launch to retrieve particular content.
Keywords :
Internet; grammars; information resources; natural languages; search engines; software agents; speech recognition; Web page content; embedded grammar tags; information content; intelligent agents; natural language interaction; natural language queries; semantic Web page representation; speech output generation; speech recognition engines; HTML; Intelligent agent; Internet; Markup languages; Natural languages; Resource description framework; Search engines; Semantic Web; Technical Activities Guide -TAG; XML;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/5254.988450
Filename :
988450
Link To Document :
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