This paper provides a comprehensive survey of research on tree patterns (TPs) and related issues for querying XML data over the past 10 years. It outlines and compares various features of tree patterns and reviews two main approaches for optimizing tree pattern matching: pattern tree minimization and holistic matching. The paper aims to provide a global overview of the significant research on tree pattern-based developments for efficiently querying XML data.
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A New Linkage for Prior Learning AssessmentMarco Kalz
Presentation given during the conference ePortfolio2007: Employability and Lifelong Learning in the Knowledge Society
Download the slides under http://dspace.ou.nl
Data integration is a perennial challenge facing large-scale data scientists. Bio-ontologies are useful in this endeavour as sources of synonyms and also for rules-based fuzzy integration pipelines.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
A New Linkage for Prior Learning AssessmentMarco Kalz
Presentation given during the conference ePortfolio2007: Employability and Lifelong Learning in the Knowledge Society
Download the slides under http://dspace.ou.nl
Data integration is a perennial challenge facing large-scale data scientists. Bio-ontologies are useful in this endeavour as sources of synonyms and also for rules-based fuzzy integration pipelines.
Heterogeneous fuzzy xml data integration based on structrual and semantic sim...
Java a survey of xml tree patterns
1. A SURVEY OF XML TREE PATTERNS
ABSTRACT:
The aim of this paper is thus to provide a global and synthetic overview of more than 10 years of
research about TPs and closely related issues with XML becoming a ubiquitous language for
data interoperability purposes in various domains, efficiently querying XML data is a critical
issue.
This has lead to the design of algebraic frameworks based on tree-shape patterns akin to the tree-
structured data model of XML. Tree patterns are graphic representations of queries over data
trees. They are actually matched against an input data tree to answer a query. Since the turn of
the 21st century, an astounding research effort has been focusing on tree pattern models and
matching optimization.
This paper is a comprehensive survey of these topics, in which we outline and compare the
various features of tree patterns. We also review and discuss the two main families of approaches
for optimizing tree pattern matching, namely pattern tree minimization and holistic matching.
We finally present actual tree pattern-based developments, to provide a global overview of this
significant research topic.
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