Fwd: Hung's defense

[Subbarao Kambhampati <rao@asu.edu>]

> Date: Mon, 09 Dec 2002 22:30:15 -0700 (MST)
> From: hung@asu.edu
> Subject: Hung's defense
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> Hi all,
> It gives me a pleasure to invite you to my MS defense on this Thursday, 
> Dec 12
> at GWC 308, starting from 12 p.m.
> Please, come and "torture" me with questions :).
>
> Viet Hung
> -----------------------
> Abstract: The current World Wide Web has over 3.3 billion pages but most of
> these pages are in human-readable format only (i.e., HTML pages). These web
> pages encompass about 15 terabytes of information or about 6 terabytes of 
> text
> after removing HTML tags, comments and white space. Because machines cannot
> understand and process information in this format automatically, much of the
> potential of the Web has so far remained untapped.
> Recently, researchers have introduced the vision of the Semantic Web in which
> data has structure and ontologies describe the semantics of data. Lots of 
> text
> data now on the Web are stored as structured text. In addition, new
> technologies, such as information extraction and XML (eXtensible Markup
> Language), will massively increase the amount of structured text available.
> Ontologies are increasingly necessary for exchanging, retrieving and 
> combining
> information, especially structured information in the context of the semantic
> web whilst maintaining consistency and rigorousness of the data amongst web
> agents. The importance of ontologies in the vision of semantic web motivated
> us with the idea of how to use the ontology of a domain to combine and
> integrate structured data efficiently while maintaining the structural as 
> well
> as data consistency. This work is aimed at developing new techniques and an
> automated tool called O-XMerge (Ontology driven XML Merging) for analyzing 
> and
> merging information and data that are represented in the form of structured
> text such as XML. Specifically, this work will investigate the merging and 
> the
> combination of XML documents according to different criteria, based on
> computational ontology.