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Semantic Keyword-based Search on Structured Data Sources

Overview of attention for book
Cover of 'Semantic Keyword-based Search on Structured Data Sources'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Professional Collaborative Information Seeking: On Traceability and Creative Sensemaking
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    Chapter 2 Recommending Web Pages Using Item-Based Collaborative Filtering Approaches
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    Chapter 3 Processing Keyword Queries Under Access Limitations
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    Chapter 4 Balanced Large Scale Knowledge Matching Using LSH Forest
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    Chapter 5 Improving css-KNN Classification Performance by Shifts in Training Data
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    Chapter 6 Classification Using Various Machine Learning Methods and Combinations of Key-Phrases and Visual Features
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    Chapter 7 Mining Workflow Repositories for Improving Fragments Reuse
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    Chapter 8 AgileDBLP: A Search-Based Mobile Application for Structured Digital Libraries
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    Chapter 9 Support of Part-Whole Relations in Query Answering
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    Chapter 10 Key-Phrases as Means to Estimate Birth and Death Years of Jewish Text Authors
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    Chapter 11 Visualization of Uncertainty in Tag Clouds
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    Chapter 12 Multimodal Image Retrieval Based on Keywords and Low-Level Image Features
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    Chapter 13 Toward Optimized Multimodal Concept Indexing
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    Chapter 14 Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives
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    Chapter 15 Indexing of Textual Databases Based on Lexical Resources: A Case Study for Serbian
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    Chapter 16 Domain-Specific Modeling: Towards a Food and Drink Gazetteer
  18. Altmetric Badge
    Chapter 17 Analysing Entity Context in Multilingual Wikipedia to Support Entity-Centric Retrieval Applications
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
15 X users
patent
3 patents

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Semantic Keyword-based Search on Structured Data Sources
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-27932-9
ISBNs
978-3-31-927931-2, 978-3-31-927932-9
Editors

Jorge Cardoso, Francesco Guerra, Geert-Jan Houben, Alexandre Miguel Pinto, Yannis Velegrakis

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 22%
Researcher 5 19%
Student > Master 4 15%
Student > Doctoral Student 3 11%
Professor 2 7%
Other 4 15%
Unknown 3 11%
Readers by discipline Count As %
Computer Science 17 63%
Social Sciences 2 7%
Arts and Humanities 1 4%
Agricultural and Biological Sciences 1 4%
Mathematics 1 4%
Other 2 7%
Unknown 3 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 14 April 2020.
All research outputs
#2,588,462
of 25,069,047 outputs
Outputs from Lecture notes in computer science
#482
of 8,151 outputs
Outputs of similar age
#35,250
of 364,868 outputs
Outputs of similar age from Lecture notes in computer science
#39
of 257 outputs
Altmetric has tracked 25,069,047 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 94% 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 364,868 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.