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» Structural Inference for Semistructured Data
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DOOD
1995
Springer
124views Database» more  DOOD 1995»
15 years 1 months ago
Querying Semistructured Heterogeneous Information
Abstract. Semistructured data has no absolute schema xed in advance and its structure may be irregular or incomplete. Such data commonly arises in sources that do not impose a rigi...
Dallan Quass, Anand Rajaraman, Yehoshua Sagiv, Jef...
SIGMOD
1998
ACM
150views Database» more  SIGMOD 1998»
15 years 2 months ago
Extracting Schema from Semistructured Data
Semistructured data is characterized by the lack of any fixed and rigid schema, although typically the data hassomeimplicitstructure. While thelack offixedschemamakesextracting ...
Svetlozar Nestorov, Serge Abiteboul, Rajeev Motwan...
WISE
2002
Springer
15 years 2 months ago
Storing and Maintaining Semistructured Data Efficiently in an Object-Relational Database
We propose to use object-relational database management systems to store and manage semi-structured data. ORA-SS (Object-Relationship-Attribute model for Semi-Structured data) [9]...
Yuanying Mo, Tok Wang Ling
VLDB
2001
ACM
153views Database» more  VLDB 2001»
15 years 2 months ago
A Fast Index for Semistructured Data
Queries navigate semistructured data via path expressions, and can be accelerated using an index. Our solution encodes paths as strings, and inserts those strings into a special i...
Brian F. Cooper, Neal Sample, Michael J. Franklin,...
VLDB
2001
ACM
87views Database» more  VLDB 2001»
15 years 2 months ago
Navigating large-scale semi-structured data in business portals
This paper presents several paradigms by which users of Verity business portals (from within as well as from outside an enterprise) discover and navigate relevant semistructured d...
Mani Abrol, Neil Latarche, Uma Mahadevan, Jianchan...