Exploiting the Category Structure of Wikipedia for Entity Ranking

Exploiting the Category Structure of Wikipedia for Entity Ranking

Authors	Rianne Kaptein Jaap Kamps
Publication date	2013
DOI	10.1016/j.artint.2012.06.003
Links	Original

Exploiting the Category Structure of Wikipedia for Entity Ranking - scientific work related to Wikipedia quality published in 2013, written by Rianne Kaptein and Jaap Kamps.

Overview

The Web has not only grown in size, but also changed its character, due to collaborative content creation and an increasing amount of structure. Current Search Engines find Web pages rather than information or knowledge, and leave it to the searchers to locate the sought information within the Web page. A considerable fraction of Web searches contains named entities. Authors focus on how the Wikipedia structure can help rank relevant entities directly in response to a search request, rather than retrieve an unorganized list of Web pages with relevant but also potentially redundant information about these entities. Authors results demonstrate the benefits of using topical and link structure over the use of shallow statistics. Authors main findings are the following. First, authors examine whether Wikipedia category and link structure can be used to retrieve entities inside Wikipedia as is the goal of the INEX (Initiative for the Evaluation of XML retrieval) Entity Ranking task. Category information proves to be a highly effective source of information, leading to large and significant improvements in retrieval performance on all data sets. Secondly, authors study how authors can use category information to retrieve documents for ad hoc retrieval topics in Wikipedia. Authors study the differences between entity ranking and ad hoc retrieval in Wikipedia by analyzing the relevance assessments. Considering retrieval performance, also on ad hoc retrieval topics authors achieve significantly better results by exploiting the category information. Finally, authors examine whether authors can automatically assign target categories to ad hoc and entity ranking queries. Guessed categories lead to performance improvements that are not as large as when the categories are assigned manually, but they are still significant. Authors conclude that the category information in Wikipedia is a useful source of information that can be used for entity ranking as well as other retrieval tasks.

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Wikipedia Quality

Kaptein, Rianne; Kamps, Jaap. (2013). "[[Exploiting the Category Structure of Wikipedia for Entity Ranking]]". Elsevier Science Publishers Ltd.. DOI: 10.1016/j.artint.2012.06.003.

English Wikipedia

{{cite journal |last1=Kaptein |first1=Rianne |last2=Kamps |first2=Jaap |title=Exploiting the Category Structure of Wikipedia for Entity Ranking |date=2013 |doi=10.1016/j.artint.2012.06.003 |url=https://wikipediaquality.com/wiki/Exploiting_the_Category_Structure_of_Wikipedia_for_Entity_Ranking |journal=Elsevier Science Publishers Ltd.}}

HTML

Kaptein, Rianne; Kamps, Jaap. (2013). &quot;<a href="https://wikipediaquality.com/wiki/Exploiting_the_Category_Structure_of_Wikipedia_for_Entity_Ranking">Exploiting the Category Structure of Wikipedia for Entity Ranking</a>&quot;. Elsevier Science Publishers Ltd.. DOI: 10.1016/j.artint.2012.06.003.