Difference between revisions of "Understanding Graph Structure of Wikipedia for Query Expansion"
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== Overview == | == Overview == | ||
Knowledge bases are very good sources for knowledge extraction, the ability to create knowledge from structured and unstructured sources and use it to improve automatic processes as query expansion. However, extracting knowledge from unstructured sources is still an open challenge [9]. In this respect, understanding the structure of knowledge bases can provide significant benefits for the effectiveness of such purpose. In particular, [[Wikipedia]] has become a very popular knowledge base in the last years because it is a general encyclopedia that has a large amount of information and thus, covers a large amount of different topics. In this piece of work, authors analyze how articles and [[categories]] of Wikipedia relate to each other and how these relationships can support a query expansion technique. In particular, authors show that the structures in the form of dense cycles with a minimum amount of categories tend to identify the most relevant information. | Knowledge bases are very good sources for knowledge extraction, the ability to create knowledge from structured and unstructured sources and use it to improve automatic processes as query expansion. However, extracting knowledge from unstructured sources is still an open challenge [9]. In this respect, understanding the structure of knowledge bases can provide significant benefits for the effectiveness of such purpose. In particular, [[Wikipedia]] has become a very popular knowledge base in the last years because it is a general encyclopedia that has a large amount of information and thus, covers a large amount of different topics. In this piece of work, authors analyze how articles and [[categories]] of Wikipedia relate to each other and how these relationships can support a query expansion technique. In particular, authors show that the structures in the form of dense cycles with a minimum amount of categories tend to identify the most relevant information. | ||
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+ | == Embed == | ||
+ | === Wikipedia Quality === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Guisado-Gámez, Joan; Prat-Pérez, Arnau. (2015). "[[Understanding Graph Structure of Wikipedia for Query Expansion]]".DOI: 10.1145/2764947.2764953. | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === English Wikipedia === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | {{cite journal |last1=Guisado-Gámez |first1=Joan |last2=Prat-Pérez |first2=Arnau |title=Understanding Graph Structure of Wikipedia for Query Expansion |date=2015 |doi=10.1145/2764947.2764953 |url=https://wikipediaquality.com/wiki/Understanding_Graph_Structure_of_Wikipedia_for_Query_Expansion}} | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === HTML === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Guisado-Gámez, Joan; Prat-Pérez, Arnau. (2015). &quot;<a href="https://wikipediaquality.com/wiki/Understanding_Graph_Structure_of_Wikipedia_for_Query_Expansion">Understanding Graph Structure of Wikipedia for Query Expansion</a>&quot;.DOI: 10.1145/2764947.2764953. | ||
+ | </nowiki> | ||
+ | </code> |
Revision as of 10:49, 25 January 2020
Authors | Joan Guisado-Gámez Arnau Prat-Pérez |
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Publication date | 2015 |
DOI | 10.1145/2764947.2764953 |
Links | Original Preprint |
Understanding Graph Structure of Wikipedia for Query Expansion - scientific work related to Wikipedia quality published in 2015, written by Joan Guisado-Gámez and Arnau Prat-Pérez.
Overview
Knowledge bases are very good sources for knowledge extraction, the ability to create knowledge from structured and unstructured sources and use it to improve automatic processes as query expansion. However, extracting knowledge from unstructured sources is still an open challenge [9]. In this respect, understanding the structure of knowledge bases can provide significant benefits for the effectiveness of such purpose. In particular, Wikipedia has become a very popular knowledge base in the last years because it is a general encyclopedia that has a large amount of information and thus, covers a large amount of different topics. In this piece of work, authors analyze how articles and categories of Wikipedia relate to each other and how these relationships can support a query expansion technique. In particular, authors show that the structures in the form of dense cycles with a minimum amount of categories tend to identify the most relevant information.
Embed
Wikipedia Quality
Guisado-Gámez, Joan; Prat-Pérez, Arnau. (2015). "[[Understanding Graph Structure of Wikipedia for Query Expansion]]".DOI: 10.1145/2764947.2764953.
English Wikipedia
{{cite journal |last1=Guisado-Gámez |first1=Joan |last2=Prat-Pérez |first2=Arnau |title=Understanding Graph Structure of Wikipedia for Query Expansion |date=2015 |doi=10.1145/2764947.2764953 |url=https://wikipediaquality.com/wiki/Understanding_Graph_Structure_of_Wikipedia_for_Query_Expansion}}
HTML
Guisado-Gámez, Joan; Prat-Pérez, Arnau. (2015). "<a href="https://wikipediaquality.com/wiki/Understanding_Graph_Structure_of_Wikipedia_for_Query_Expansion">Understanding Graph Structure of Wikipedia for Query Expansion</a>".DOI: 10.1145/2764947.2764953.