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Semantic Web Information Management

Overview of attention for book
Cover of 'Semantic Web Information Management'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
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    Chapter 2 Data and Metadata Management
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    Chapter 3 The Semantic Web Languages
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    Chapter 4 Relational Technologies, Metadata and RDF
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    Chapter 5 A Metamodel Approach to Semantic Web Data Management
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    Chapter 6 Managing Terabytes of Web Semantics Data
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    Chapter 7 Reasoning in Semantic Web-based Systems
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    Chapter 8 Modular Knowledge Representation and Reasoning in the Semantic Web
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    Chapter 9 Semantic Matching with S-Match
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    Chapter 10 Preserving Semantics in Automatically Created Ontology Alignments
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    Chapter 11 tOWL: Integrating Time in OWL
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    Chapter 12 Datalog Extensions for Tractable Query Answering over Ontologies
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    Chapter 13 On the Semantics of SPARQL
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    Chapter 14 Labeling RDF Graphs for Linear Time and Space Querying
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    Chapter 15 SPARQLog: SPARQL with Rules and Quantification
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    Chapter 16 SP 2 Bench: A SPARQL Performance Benchmark
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    Chapter 17 Using OWL in Data Integration
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    Chapter 18 Service Knowledge Spaces for Semantic Collaboration in Web-based Systems
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    Chapter 19 Informative Top-k Retrieval for Advanced Skill Management
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    Chapter 20 MIDST: Interoperability for Semantic Annotations
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    Chapter 21 Virtuoso: RDF Support in a Native RDBMS
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    Chapter 22 Hera: Engineering Web Applications Using Semantic Web-based Models
Overall attention for this book and its chapters
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Semantic Web Information Management
Published by
ADS, January 2010
DOI 10.1007/978-3-642-04329-1
ISBNs
978-3-64-204328-4, 978-3-64-204329-1
Editors

de Virgilio, Roberto, Giunchiglia, Fausto, Tanca, Letizia

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 5%
Bangladesh 1 3%
Poland 1 3%
Unknown 34 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Student > Master 7 18%
Researcher 6 16%
Student > Bachelor 3 8%
Professor 2 5%
Other 5 13%
Unknown 5 13%
Readers by discipline Count As %
Computer Science 23 61%
Engineering 5 13%
Mathematics 1 3%
Philosophy 1 3%
Business, Management and Accounting 1 3%
Other 1 3%
Unknown 6 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 April 2022.
All research outputs
#7,744,540
of 23,548,905 outputs
Outputs from ADS
#9,522
of 38,199 outputs
Outputs of similar age
#49,660
of 167,358 outputs
Outputs of similar age from ADS
#296
of 834 outputs
Altmetric has tracked 23,548,905 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 38,199 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 167,358 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 834 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.