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Semantic Keyword-based Search on Structured Data Sources

Overview of attention for book
Semantic Keyword-based Search on Structured Data Sources
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Professional Collaborative Information Seeking: On Traceability and Creative Sensemaking
  3. Altmetric Badge
    Chapter 2 Recommending Web Pages Using Item-Based Collaborative Filtering Approaches
  4. Altmetric Badge
    Chapter 3 Processing Keyword Queries Under Access Limitations
  5. Altmetric Badge
    Chapter 4 Balanced Large Scale Knowledge Matching Using LSH Forest
  6. Altmetric Badge
    Chapter 5 Improving css-KNN Classification Performance by Shifts in Training Data
  7. Altmetric Badge
    Chapter 6 Classification Using Various Machine Learning Methods and Combinations of Key-Phrases and Visual Features
  8. Altmetric Badge
    Chapter 7 Mining Workflow Repositories for Improving Fragments Reuse
  9. Altmetric Badge
    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
  11. Altmetric Badge
    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
  14. Altmetric Badge
    Chapter 13 Toward Optimized Multimodal Concept Indexing
  15. Altmetric Badge
    Chapter 14 Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives
  16. Altmetric Badge
    Chapter 15 Indexing of Textual Databases Based on Lexical Resources: A Case Study for Serbian
  17. Altmetric Badge
    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
Attention for Chapter 14: Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives
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Chapter title
Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives
Chapter number 14
Book title
Semantic Keyword-based Search on Structured Data Sources
Published in
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-27932-9_14
Book ISBNs
978-3-31-927931-2, 978-3-31-927932-9
Authors

Tarcisio Souza, Elena Demidova, Thomas Risse, Helge Holzmann, Gerhard Gossen, Julian Szymanski, Souza, Tarcisio, Demidova, Elena, Risse, Thomas, Holzmann, Helge, Gossen, Gerhard, Szymanski, Julian

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Master 2 20%
Professor 1 10%
Librarian 1 10%
Lecturer 1 10%
Other 1 10%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 4 40%
Social Sciences 3 30%
Engineering 1 10%
Unknown 2 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 February 2017.
All research outputs
#17,964,074
of 26,411,386 outputs
Outputs from Lecture notes in computer science
#4,819
of 8,214 outputs
Outputs of similar age
#248,553
of 404,430 outputs
Outputs of similar age from Lecture notes in computer science
#363
of 543 outputs
Altmetric has tracked 26,411,386 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,214 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 26th percentile – i.e., 26% 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 404,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 543 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.