Difference between revisions of "Computing Semantic Relatedness from Human Navigational Paths on Wikipedia"
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| + | | title = Computing Semantic Relatedness from Human Navigational Paths on Wikipedia | ||
| + | | date = 2013 | ||
| + | | authors = [[Philipp Singer]]<br />[[Thomas Niebler]]<br />[[Markus Strohmaier]]<br />[[Andreas Hotho]] | ||
| + | | doi = 10.1145/2487788.2487873 | ||
| + | | link = http://dl.acm.org/citation.cfm?doid=2487788.2487873 | ||
| + | }} | ||
'''Computing Semantic Relatedness from Human Navigational Paths on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Philipp Singer]], [[Thomas Niebler]], [[Markus Strohmaier]] and [[Andreas Hotho]]. | '''Computing Semantic Relatedness from Human Navigational Paths on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Philipp Singer]], [[Thomas Niebler]], [[Markus Strohmaier]] and [[Andreas Hotho]]. | ||
== Overview == | == Overview == | ||
This paper presents a novel approach for computing semantic [[relatedness]] between concepts on [[Wikipedia]] by using human navigational paths for this task. Authors results suggest that human navigational paths provide a viable source for calculating semantic relatedness between concepts on Wikipedia. Authors also show that authors can improve accuracy by intelligent selection of path corpora based on path characteristics indicating that not all paths are equally useful. Authors work makes an argument for expanding the existing arsenal of data sources for calculating semantic relatedness and to consider the utility of human navigational paths for this task. | This paper presents a novel approach for computing semantic [[relatedness]] between concepts on [[Wikipedia]] by using human navigational paths for this task. Authors results suggest that human navigational paths provide a viable source for calculating semantic relatedness between concepts on Wikipedia. Authors also show that authors can improve accuracy by intelligent selection of path corpora based on path characteristics indicating that not all paths are equally useful. Authors work makes an argument for expanding the existing arsenal of data sources for calculating semantic relatedness and to consider the utility of human navigational paths for this task. | ||
Revision as of 20:52, 16 November 2019
Authors | Philipp Singer Thomas Niebler Markus Strohmaier Andreas Hotho |
|---|---|
Publication date | 2013 |
DOI | 10.1145/2487788.2487873 |
Links | Original |
Computing Semantic Relatedness from Human Navigational Paths on Wikipedia - scientific work related to Wikipedia quality published in 2013, written by Philipp Singer, Thomas Niebler, Markus Strohmaier and Andreas Hotho.
Overview
This paper presents a novel approach for computing semantic relatedness between concepts on Wikipedia by using human navigational paths for this task. Authors results suggest that human navigational paths provide a viable source for calculating semantic relatedness between concepts on Wikipedia. Authors also show that authors can improve accuracy by intelligent selection of path corpora based on path characteristics indicating that not all paths are equally useful. Authors work makes an argument for expanding the existing arsenal of data sources for calculating semantic relatedness and to consider the utility of human navigational paths for this task.
