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» Describing Semistructured Data
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ICDM
2003
IEEE
115views Data Mining» more  ICDM 2003»
14 years 1 months ago
On Precision and Recall of Multi-Attribute Data Extraction from Semistructured Sources
Machine learning techniques for data extraction from semistructured sources exhibit different precision and recall characteristics. However to date the formal relationship between...
Guizhen Yang, Saikat Mukherjee, I. V. Ramakrishnan
ISMIS
2003
Springer
14 years 1 months ago
NETMARK: A Schema-Less Extension for Relational Databases for Managing Semi-structured Data Dynamically
Object-Relational database management system is an integrated hybrid cooperative approach to combine the best practices of both the relational model utilizing SQL queries and the ...
David A. Maluf, Peter B. Tran
BTW
2007
Springer
131views Database» more  BTW 2007»
14 years 17 days ago
TopX - Efficient and Versatile Top-k Query Process-ing for Text, Semistructured, and Structured Data
: This paper presents a comprehensive overview of the TopX search engine, an extensive framework for unified indexing and querying large collections of unstructured, semistructured...
Martin Theobald, Ralf Schenkel, Gerhard Weikum
CLEANDB
2006
ACM
142views Database» more  CLEANDB 2006»
13 years 10 months ago
QUEST: QUery-driven Exploration of Semistructured Data with ConflicTs and Partial Knowledge
An important reality when integrating scientific data is the fact that data may often be "missing", partially specified, or conflicting. Therefore, in this paper, we pre...
Yan Qi 0002, K. Selçuk Candan, Maria Luisa ...
KDD
1997
ACM
114views Data Mining» more  KDD 1997»
14 years 22 days ago
Schema Discovery for Semistructured Data
To formulate a meaningful query on semistructured data, such as on the Web, that matches some of the source’s structure, we need first to discover something about how the infor...
Ke Wang, Huiqing Liu