Librarian View
Last updated in SearchWorks on November 24, 2023 9:30pm
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a| Kejriwal, Mayank,
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1
0
a| Populating a linked data entity name system :
b| a big data solution to unsupervised instance matching /
c| Mayank Kejriwal.
264
1
a| Amsterdam, Netherlands :
b| IOS Press,
c| 2017.
300
a| 1 online resource.
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a| text
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a| online resource
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a| Studies on the semantic web ;
v| vol. 027
504
a| Includes bibliographical references.
588
0
a| Online resource; title from PDF title page (IOS Press, viewed January 26, 2017).
505
0
0
g| Machine generated contents note:
g| ch. 1
t| Introduction --
g| 1.1.
t| Linked Data --
g| 1.2.
t| Entity Name System --
g| 1.3.
t| Research Question and Thesis --
g| 1.4.
t| Dissertation --
g| 1.5.
t| Contributions --
g| ch. 2
t| Background --
g| 2.1.
t| Structured Data Models --
g| 2.1.1.
t| Resource Description Framework (RDF) --
g| 2.1.2.
t| Relational Database (RDB) Model --
g| 2.1.3.
t| Serializing RDF Data --
g| 2.2.
t| Instance Matching --
g| 2.2.1.
t| Blocking Step --
g| 2.2.2.
t| Similarity Step --
g| 2.2.3.
t| Evaluating Instance Matching --
g| 2.3.
t| Heterogeneity --
g| 2.3.1.
t| Type Heterogeneity --
g| 2.3.2.
t| Property Heterogeneity --
g| 2.3.3.
t| Extending the Two-Step Workflow --
g| 2.4.
t| Scalability --
g| 2.4.1.
t| Motivation --
g| 2.4.2.
t| Implementation --
g| ch. 3
t| Related Work --
g| 3.1.
t| Existing Domain-Independent Systems --
g| 3.1.1.
t| Systems Addressing Automation --
g| 3.1.2.
t| Systems Addressing Heterogeneity --
g| 3.1.3.
t| Systems Addressing Scalability --
g| 3.1.4.
t| Other Systems --
g| 3.2.
t| Discussion --
g| 3.2.1.
t| Automation vs. Scalability --
g| 3.2.2.
t| Issues of Structural Heterogeneity --
g| 3.3.3.
t| Issues of Unsupervised Blocking --
g| ch. 4
t| Type Alignment --
g| 4.1.
t| Motivating Example and Preliminaries: A Review --
g| 4.2.
t| Applications of Type Alignment --
g| 4.3.
t| Approach --
g| 4.3.1.
t| Possible Strategy Implementations --
g| 4.4.
t| Evaluations --
g| 4.4.1.
t| Test Cases --
g| 4.4.2.
t| Metrics and Methodology --
g| 4.4.3.
t| Results and Discussion --
g| ch. 5
t| Training Set Generation --
g| 5.1.
t| Intuition --
g| 5.2.
t| Approach --
g| 5.3.
t| Evaluations --
g| 5.3.1.
t| Test Suite --
g| 5.3.2.
t| Metrics --
g| 5.3.3.
t| Setup --
g| 5.3.4.
t| Results and Discussion --
g| ch. 6
t| Property Alignment --
g| 6.1.
t| Approach --
g| 6.2.
t| Evaluations --
g| 6.2.1.
t| Setup --
g| 6.2.2.
t| Results and Discussion --
g| ch. 7
t| Blocking and Classification --
g| 7.1.
t| Approach --
g| 7.1.1.
t| Feature Generator --
g| 7.1.2.
t| Learning Procedures --
g| 7.2.
t| Evaluations --
g| 7.2.1.
t| Blocking --
g| 7.2.2.
t| Similarity (non-iterative run) --
g| 7.2.3.
t| Similarity (iterative run) --
g| ch. 8
t| Scalability --
g| 8.1.
t| Summary of Algorithms --
g| 8.2.
t| Motivation and Use-Cases --
g| 8.3.
t| MapReduce Implementations --
g| 8.3.1.
t| Type Alignment --
g| 8.3.2.
t| Training Set Generator --
g| 8.3.3.
t| Property Alignment and Learning Procedures --
g| 8.3.4.
t| Blocking and Similarity --
g| ch. 9
t| Conclusion --
g| 9.1.
t| Summary --
g| 9.2.
t| Future Work --
g| 9.2.1.
t| Linked Data Quality --
g| 9.2.2.
t| Schema-Free Approaches --
g| 9.2.3.
t| Transfer Learning.
650
0
a| RDF (Document markup language)
650
0
a| Linked data.
650
0
a| Big data.
650
7
a| COMPUTERS
x| Intelligence (AI) & Semantics.
2| bisacsh
650
7
a| Big data.
2| fast
0| (OCoLC)fst01892965
650
7
a| Linked data.
2| fast
0| (OCoLC)fst01896555
650
7
a| RDF (Document markup language)
2| fast
0| (OCoLC)fst01086226
830
0
a| Studies on the Semantic Web ;
v| v. 027.
856
4
0
z| Available to Stanford-affiliated users.
u| http://search.ebscohost.com/login.aspx?authtype=ip,sso&custid=s4392798&direct=true&scope=site&db=nlebk&AN=1455959
x| WMS
y| EBSCO Academic Comprehensive Collection
x| Provider: EBSCO
x| subscribed
x| eLoaderURL
x| uc4
x| ucocn970041843
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a| 92
b| STF
915
a| NO EXPORT
b| AUTHORITY VENDOR
d| 20190126
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a| 22
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a| (Sirsi) ucocn970041843
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f
f
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