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What and Who

Précis Queries: A Novel Way to Query Answering Over Relational Data

Dr. Alkis Simitsis
NTUA
Talk

Dr Alkis Simitsis received his Diploma degree in 2000 and the PhD degree in 2004, both from the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA). His Diploma thesis was awarded the 1st prize from the Greek Technical Chamber as the best thesis of that year. He is currently a visiting lecturer at the University of Peloponnese in Greece and a research fellow at NTUA. His research interests include extraction-transformation-loading (ETL) processes in data warehouses, modeling and designing of data warehouses, query processing/optimization, keyword search, data cleaning and security issues. He has published more than 20 papers in refereed journals and international conferences in the above areas.
AG 5  
AG Audience
English

Date, Time and Location

Monday, 26 June 2006
11:00
90 Minutes
E1 4
433
Saarbrücken

Abstract

Wide spread use of database systems in modern society has brought the need to provide inexperienced users with the ability to easily search a database with no specific knowledge of a query language. Several recent research efforts have focused on supporting keyword-based searches over relational databases.

In this talk, we will present an alternative proposal and we will introduce the idea of précis queries. These are free-form queries whose answer is an entire multi-relation database, which is a logical subset of an existing one, instead of an individual relation. A logical subset of a database contains not only items directly related to the given query selections but also items implicitly related to them in various ways with the purpose of providing to the user much greater insight into the original data.

In this context, we will present a framework and a system architecture for supporting such queries in a relational database system and, also, we will sketch algorithms that implement the required functionality. Moreover, we will illustrate a semi-automatic method that translates the relational output of a précis query into a narrative synthesis of results, in order to provide the naive user with more meaningful answers to his/her questions. Finally, we will discuss efficiency issues and possible future extensions of this approach.

Contact

Petra Schaaf
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Petra Schaaf, 06/23/2006 11:29 -- Created document.