Difference between revisions of "Computing Semantic Relatedness from Human Navigational Paths: a Case Study on Wikipedia"
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| − | '''Computing Semantic Relatedness from Human Navigational Paths: a Case Study on Wikipedia''' - scientific work related to Wikipedia quality published in 2013, written by Philipp Singer, Thomas Niebler, Markus Strohmaier and Andreas Hotho. | + | {{Infobox work |
| + | | title = Computing Semantic Relatedness from Human Navigational Paths: a Case Study on Wikipedia | ||
| + | | date = 2013 | ||
| + | | authors = [[Philipp Singer]]<br />[[Thomas Niebler]]<br />[[Markus Strohmaier]]<br />[[Andreas Hotho]] | ||
| + | | doi = 10.4018/ijswis.2013100103 | ||
| + | | link = https://www.igi-global.com/article/computing-semantic-relatedness-from-human-navigational-paths-a-case-study-on-wikipedia/102707 | ||
| + | }} | ||
| + | '''Computing Semantic Relatedness from Human Navigational Paths: a Case Study on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Philipp Singer]], [[Thomas Niebler]], [[Markus Strohmaier]] and [[Andreas Hotho]]. | ||
== Overview == | == Overview == | ||
| − | In this article, the authors present a novel approach for computing semantic relatedness and conduct a large-scale study of it on Wikipedia. Unlike existing semantic analysis methods that utilize Wikipedia's content or link structure, the authors propose to use human navigational paths on Wikipedia for this task. The authors obtain 1.8 million human navigational paths from a semi-controlled navigation experiment-a Wikipedia-based navigation game, in which users are required to find short paths between two articles in a given Wikipedia article network. The authors' results are intriguing: They suggest that i semantic relatedness computed from human navigational paths may be more precise than semantic relatedness computed from Wikipedia's plain link structure alone and ii that not all navigational paths are equally useful. Intelligent selection based on path characteristics can improve accuracy. The 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. | + | In this article, the authors present a novel approach for computing semantic [[relatedness]] and conduct a large-scale study of it on [[Wikipedia]]. Unlike existing semantic analysis methods that utilize Wikipedia's content or link structure, the authors propose to use human navigational paths on Wikipedia for this task. The authors obtain 1.8 million human navigational paths from a semi-controlled navigation experiment-a Wikipedia-based navigation game, in which users are required to find short paths between two articles in a given Wikipedia article network. The authors' results are intriguing: They suggest that i semantic relatedness computed from human navigational paths may be more precise than semantic relatedness computed from Wikipedia's plain link structure alone and ii that not all navigational paths are equally useful. Intelligent selection based on path characteristics can improve accuracy. The 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. |
| + | |||
| + | == Embed == | ||
| + | === Wikipedia Quality === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Singer, Philipp; Niebler, Thomas; Strohmaier, Markus; Hotho, Andreas. (2013). "[[Computing Semantic Relatedness from Human Navigational Paths: a Case Study on Wikipedia]]". IGI Global. DOI: 10.4018/ijswis.2013100103. | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === English Wikipedia === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | {{cite journal |last1=Singer |first1=Philipp |last2=Niebler |first2=Thomas |last3=Strohmaier |first3=Markus |last4=Hotho |first4=Andreas |title=Computing Semantic Relatedness from Human Navigational Paths: a Case Study on Wikipedia |date=2013 |doi=10.4018/ijswis.2013100103 |url=https://wikipediaquality.com/wiki/Computing_Semantic_Relatedness_from_Human_Navigational_Paths:_a_Case_Study_on_Wikipedia |journal=IGI Global}} | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === HTML === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Singer, Philipp; Niebler, Thomas; Strohmaier, Markus; Hotho, Andreas. (2013). &quot;<a href="https://wikipediaquality.com/wiki/Computing_Semantic_Relatedness_from_Human_Navigational_Paths:_a_Case_Study_on_Wikipedia">Computing Semantic Relatedness from Human Navigational Paths: a Case Study on Wikipedia</a>&quot;. IGI Global. DOI: 10.4018/ijswis.2013100103. | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | |||
| + | |||
| + | [[Category:Scientific works]] | ||
Latest revision as of 08:44, 9 December 2019
Authors | Philipp Singer Thomas Niebler Markus Strohmaier Andreas Hotho |
|---|---|
Publication date | 2013 |
DOI | 10.4018/ijswis.2013100103 |
Links | Original |
Computing Semantic Relatedness from Human Navigational Paths: a Case Study on Wikipedia - scientific work related to Wikipedia quality published in 2013, written by Philipp Singer, Thomas Niebler, Markus Strohmaier and Andreas Hotho.
Overview
In this article, the authors present a novel approach for computing semantic relatedness and conduct a large-scale study of it on Wikipedia. Unlike existing semantic analysis methods that utilize Wikipedia's content or link structure, the authors propose to use human navigational paths on Wikipedia for this task. The authors obtain 1.8 million human navigational paths from a semi-controlled navigation experiment-a Wikipedia-based navigation game, in which users are required to find short paths between two articles in a given Wikipedia article network. The authors' results are intriguing: They suggest that i semantic relatedness computed from human navigational paths may be more precise than semantic relatedness computed from Wikipedia's plain link structure alone and ii that not all navigational paths are equally useful. Intelligent selection based on path characteristics can improve accuracy. The 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.
Embed
Wikipedia Quality
Singer, Philipp; Niebler, Thomas; Strohmaier, Markus; Hotho, Andreas. (2013). "[[Computing Semantic Relatedness from Human Navigational Paths: a Case Study on Wikipedia]]". IGI Global. DOI: 10.4018/ijswis.2013100103.
English Wikipedia
{{cite journal |last1=Singer |first1=Philipp |last2=Niebler |first2=Thomas |last3=Strohmaier |first3=Markus |last4=Hotho |first4=Andreas |title=Computing Semantic Relatedness from Human Navigational Paths: a Case Study on Wikipedia |date=2013 |doi=10.4018/ijswis.2013100103 |url=https://wikipediaquality.com/wiki/Computing_Semantic_Relatedness_from_Human_Navigational_Paths:_a_Case_Study_on_Wikipedia |journal=IGI Global}}
HTML
Singer, Philipp; Niebler, Thomas; Strohmaier, Markus; Hotho, Andreas. (2013). "<a href="https://wikipediaquality.com/wiki/Computing_Semantic_Relatedness_from_Human_Navigational_Paths:_a_Case_Study_on_Wikipedia">Computing Semantic Relatedness from Human Navigational Paths: a Case Study on Wikipedia</a>". IGI Global. DOI: 10.4018/ijswis.2013100103.
