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Details of Grant 

EPSRC Reference: EP/G049165/1
Title: XML with Incomplete Information: Representation, Querying, and Applications
Principal Investigator: Libkin, Professor L
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Sch of Informatics
Organisation: University of Edinburgh
Scheme: Standard Research
Starts: 01 September 2009 Ends: 30 November 2013 Value (£): 565,505
EPSRC Research Topic Classifications:
Fundamentals of Computing Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:
Panel DatePanel NameOutcome
29 Jan 2009 ICT Prioritisation Panel (January 2009) Announced
Summary on Grant Application Form
Data on the Web - particularly XML data - is often incomplete andinconsistent, due to such factors as the lack of centralisation andcontrol over data quality. While the transfer and extension ofrelational tools to deal with XML data has been a central theme indata management research over the past decade, the standard databasetoolbox offers us little in terms of handling ofincompleteness. Indeed, it is one of the most notoriouslyunderdeveloped and most often criticised aspects of relationaldatabases. In addition, the flexibility of XML leads to many ways inwhich incompleteness of data can be accommodated, in addition to thestandard relational null values.There has not yet been any detailed study of incompleteness in XML.Our main goal is to conduct such a systematic study, and develop itsapplications in the area that underlies data management tasks on theWeb -- the use of data across multiple independent applications.We shall investigate models of XML with incomplete information andalgorithmic techniques for querying such data, paying particularattention to the correctness/complexity tradeoffs and to the practicalityof algorithmic tools. We shall investigate the fundamental role ofincompleteness in applications that involve the movement of XML data,such as integration of data from various sources or moving databetween peers according to mappings between their schemas. We shalldevelop a specification and algorithmic toolbox for dealing withincomplete information as it arises in such applications.
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