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The Semantic Web – ISWC 2011

Overview of attention for book
Cover of 'The Semantic Web – ISWC 2011'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 KOIOS: Utilizing Semantic Search for Easy-Access and Visualization of Structured Environmental Data
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    Chapter 2 Wiki-Based Conceptual Modeling: An Experience with the Public Administration
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    Chapter 3 Linking Semantic Desktop Data to the Web of Data
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    Chapter 4 Linking Data across Universities: An Integrated Video Lectures Dataset
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    Chapter 5 Mind Your Metadata: Exploiting Semantics for Configuration, Adaptation, and Provenance in Scientific Workflows
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    Chapter 6 Using Semantic Web Technologies to Build a Community-Driven Knowledge Curation Platform for the Skeletal Dysplasia Domain
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    Chapter 7 Cyber Scientific Test Language
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    Chapter 8 How to ”Make a Bridge to the New Town” Using OntoAccess
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    Chapter 9 The MetaLex Document Server
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    Chapter 10 Leveraging Community-Built Knowledge for Type Coercion in Question Answering
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    Chapter 11 Privacy-Aware and Scalable Content Dissemination in Distributed Social Networks
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    Chapter 12 BookSampo—Lessons Learned in Creating a Semantic Portal for Fiction Literature
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    Chapter 13 SCMS – Semantifying Content Management Systems
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    Chapter 14 Zhishi.me - Weaving Chinese Linking Open Data
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    Chapter 15 An Implementation of a Semantic, Web-Based Virtual Machine Laboratory Prototyping Environment
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    Chapter 16 Rule-Based OWL Reasoning for Specific Embedded Devices
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    Chapter 17 A Semantic Portal for Next Generation Monitoring Systems
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    Chapter 18 DC Proposal: PRISSMA, Towards Mobile Adaptive Presentation of the Web of Data
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    Chapter 19 DC Proposal: Towards an ODP Quality Model
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    Chapter 20 DC Proposal: Automation of Service Lifecycle on the Cloud by Using Semantic Technologies
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    Chapter 21 DC Proposal: Knowledge Based Access Control Policy Specification and Enforcement
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    Chapter 22 DC Proposal: Online Analytical Processing of Statistical Linked Data
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    Chapter 23 DC Proposal: Model for News Filtering with Named Entities
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    Chapter 24 DC Proposal: Graphical Models and Probabilistic Reasoning for Generating Linked Data from Tables
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    Chapter 25 DC Proposal: Evaluating Trustworthiness of Web Content Using Semantic Web Technologies
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    Chapter 26 DC Proposal: Decision Support Methods in Community-Driven Knowledge Curation Platforms
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    Chapter 27 DC Proposal: Towards Linked Data Assessment and Linking Temporal Facts
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    Chapter 28 DC Proposal: Towards a Framework for Efficient Query Answering and Integration of Geospatial Data
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    Chapter 29 DC Proposal: Automatically Transforming Keyword Queries to SPARQL on Large-Scale Knowledge Bases
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    Chapter 30 DC Proposal: Enriching Unstructured Media Content about Events to Enable Semi-automated Summaries, Compilations, and Improved Search by Leveraging Social Networks
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    Chapter 31 DC Proposal: Ontology Learning from Noisy Linked Data
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    Chapter 32 DC Proposal: Capturing Knowledge Evolution and Expertise in Community-Driven Knowledge Curation Platforms
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    Chapter 33 Keynote: 10 Years of Semantic Web Research: Searching for Universal Patterns
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    Chapter 34 Keynote: Building a Nervous System for Society: The ‘New Deal on Data’ and How to Make Health, Financial, Logistics, and Transportation Systems Work
  36. Altmetric Badge
    Chapter 35 Keynote: For a Few Triples More
Overall attention for this book and its chapters
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About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 167)
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
365 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The Semantic Web – ISWC 2011
Published by
Database, January 2011
DOI 10.1007/978-3-642-25093-4
ISBNs
978-3-64-225092-7, 978-3-64-225093-4
Editors

Aroyo, Lora, Welty, Chris, Alani, Harith, Taylor, Jamie, Bernstein, Abraham, Kagal, Lalana, Noy, Natasha, Blomqvist, Eva

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 365 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Germany 4 1%
Brazil 4 1%
France 3 <1%
United Kingdom 2 <1%
Ireland 2 <1%
Italy 2 <1%
Netherlands 2 <1%
Canada 1 <1%
Other 4 1%
Unknown 335 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 8%
Student > Ph. D. Student 28 8%
Researcher 18 5%
Professor > Associate Professor 7 2%
Student > Bachelor 5 1%
Other 24 7%
Unknown 252 69%
Readers by discipline Count As %
Computer Science 80 22%
Agricultural and Biological Sciences 7 2%
Social Sciences 7 2%
Unspecified 5 1%
Business, Management and Accounting 3 <1%
Other 11 3%
Unknown 252 69%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 June 2019.
All research outputs
#4,156,741
of 15,268,406 outputs
Outputs from Database
#35
of 167 outputs
Outputs of similar age
#30,513
of 114,447 outputs
Outputs of similar age from Database
#7
of 14 outputs
Altmetric has tracked 15,268,406 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 167 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 77% of its peers.
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 114,447 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.