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» Structural Inference for Semistructured Data
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ADBIS
1997
Springer
120views Database» more  ADBIS 1997»
14 years 1 months ago
Semistructured Data: The Tsimmis Experience
In this paper we discuss the management of semi-structured data, i.e., data that has irregular or dynamically changing structure. We describe components of the Stanford Tsimmis Pr...
Joachim Hammer, Jason McHugh, Hector Garcia-Molina
ICDE
1998
IEEE
104views Database» more  ICDE 1998»
14 years 11 months ago
Representing and Querying Changes in Semistructured Data
Semistructured data may be irregular and incomplete and does not necessarily conform to a fixed schema. As with structured data, it is often desirable to maintain a history of cha...
Sudarshan S. Chawathe, Serge Abiteboul, Jennifer W...
DEXAW
2004
IEEE
177views Database» more  DEXAW 2004»
14 years 1 months ago
An Example of the ESTEST Approach to Combining Unstructured Text and Structured Data
In this paper, we demonstrate the use of the ESTEST system, which combines the data integration approach with techniques from Information Extraction in order to allow information ...
Dean Williams, Alexandra Poulovassilis
KDD
1998
ACM
159views Data Mining» more  KDD 1998»
14 years 2 months ago
A Robust System Architecture for Mining Semi-Structured Data
The value of extracting knowledge from semi-structured data is readily apparent with the explosion of the WWW and the advent of digital libraries. This paper proposes a versatile ...
Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheue...
BNCOD
2007
151views Database» more  BNCOD 2007»
13 years 11 months ago
Compressed Materialised Views of Semi-Structured Data
Query performance issues over semi-structured data have led to the emergence of materialised XML views as a means of restricting the data structure processed by a query. However p...
Richard Gourlay, Brian Tripney, John N. Wilson