Difference between revisions of "Conceptual Hierarchical Clustering of Documents Using Wikipedia Knowledge"
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+ | {{Infobox work | ||
+ | | title = Conceptual Hierarchical Clustering of Documents Using Wikipedia Knowledge | ||
+ | | date = 2011 | ||
+ | | authors = [[Gerasimos Spanakis]]<br />[[Georgios Siolas]]<br />[[Andreas Stafylopatis]] | ||
+ | | doi = 10.1007/978-90-481-9794-1_25 | ||
+ | | link = https://link.springer.com/content/pdf/10.1007%2F978-90-481-9794-1_25.pdf | ||
+ | }} | ||
'''Conceptual Hierarchical Clustering of Documents Using Wikipedia Knowledge''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Gerasimos Spanakis]], [[Georgios Siolas]] and [[Andreas Stafylopatis]]. | '''Conceptual Hierarchical Clustering of Documents Using Wikipedia Knowledge''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Gerasimos Spanakis]], [[Georgios Siolas]] and [[Andreas Stafylopatis]]. | ||
== Overview == | == Overview == | ||
In this paper, authors propose a novel method for conceptual hierarchical clustering of documents using knowledge extracted from [[Wikipedia]]. A robust and compact document representation is built in real-time using the Wikipedia API. The clustering process is hierarchi- cal and creates cluster labels which are descriptive and important for the examined corpus. Experiments show that the proposed technique greatly improves over the baseline approach. | In this paper, authors propose a novel method for conceptual hierarchical clustering of documents using knowledge extracted from [[Wikipedia]]. A robust and compact document representation is built in real-time using the Wikipedia API. The clustering process is hierarchi- cal and creates cluster labels which are descriptive and important for the examined corpus. Experiments show that the proposed technique greatly improves over the baseline approach. |
Revision as of 10:01, 7 November 2019
Authors | Gerasimos Spanakis Georgios Siolas Andreas Stafylopatis |
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Publication date | 2011 |
DOI | 10.1007/978-90-481-9794-1_25 |
Links | Original |
Conceptual Hierarchical Clustering of Documents Using Wikipedia Knowledge - scientific work related to Wikipedia quality published in 2011, written by Gerasimos Spanakis, Georgios Siolas and Andreas Stafylopatis.
Overview
In this paper, authors propose a novel method for conceptual hierarchical clustering of documents using knowledge extracted from Wikipedia. A robust and compact document representation is built in real-time using the Wikipedia API. The clustering process is hierarchi- cal and creates cluster labels which are descriptive and important for the examined corpus. Experiments show that the proposed technique greatly improves over the baseline approach.