Work Description

Title: Semantic-Based Document Retrieval Using Spatial Distributions of Concepts Open Access Deposited

http://creativecommons.org/licenses/by-nc/4.0/
Attribute Value
Methodology
  • This dataset consists of 30 pages from Wikipedia: 10 pages discussing dogs, 10 pages discussing computers, and 10 pages discussing sports.
Description
  • This dataset was used for a proof-of-concept of fixed lexical chain approach for semantic information retrieval.
Creator
Depositor
  • wgrosky@umich.edu
Contact information
Discipline
Keyword
Date coverage
  • 2016-05-01 to 2017-03-01
Citations to related material
  • Ruas, T. L., & Grosky, W. I. (2017). Exploring and expanding the use of lexical chains in information retrieval. Ann Arbor: University of Michigan. Retrieved from the Deep Blue institutional repository website: http://dx.doi.org/10.3998/2027.42/136659
Resource type
Last modified
  • 05/18/2018
Published
  • 02/26/2017
Language
DOI
License
To Cite this Work:
Grosky, W., Ruas, T. (2017). Semantic-Based Document Retrieval Using Spatial Distributions of Concepts [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/Z26W980B

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