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» Structural Inference for Semistructured Data
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2005
Springer
14 years 4 months ago
OntoExtractor: A Fuzzy-Based Approach in Clustering Semi-structured Data Sources and Metadata Generation
This paper describes a theoretical approach on data mining, information classifying and a global overview of our OntoExtractor application, concerning the analysis of incoming data...
Zhan Cui, Ernesto Damiani, Marcello Leida, Marco V...
APBC
2003
138views Bioinformatics» more  APBC 2003»
14 years 7 days ago
A New Approach to Protein Structure and Function Analysis Using Semi-structured Databases
The development of high-throughput genome sequencing and protein structure determination techniques have provided researchers with a wealth of biological data. Integrated analysis...
William M. Shui, Raymond K. Wong, Stephen C. Graha...
SIGMOD
1999
ACM
136views Database» more  SIGMOD 1999»
14 years 3 months ago
Query Rewriting for Semistructured Data
We address the problem of query rewriting for TSL, a language for querying semistructured data. We develop and present an algorithm that, given a semistructured query q and a set ...
Yannis Papakonstantinou, Vasilis Vassalos
ACTAC
1998
71views more  ACTAC 1998»
13 years 10 months ago
On the Information Content of Semi-Structured Databases
In a semi-structured database there is no clear separation between the data and the schema, and the degree to which it is structured depends on the application. Semi-structured da...
Mark Levene
ADC
2003
Springer
173views Database» more  ADC 2003»
14 years 4 months ago
Cooperative Query Answering for Semistructured Data
Semistructured data, in particular XML, has emerged as one of the primary means for information exchange and content management. The power of XML allows authors to structure a doc...
Michael Barg, Raymond K. Wong