Difference between revisions of "Building Concept Networks Using a Wikipedia-Based 3-Dimensional Text Representation Model"
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| + | | title = Building Concept Networks Using a Wikipedia-Based 3-Dimensional Text Representation Model | ||
| + | | date = 2015 | ||
| + | | authors = [[Ki-Joo Hong]]<br />[[Han-Joon Kim]]<br />[[Seung-Yeon Lee]] | ||
| + | | doi = 10.5626/KTCP.2015.21.9.596 | ||
| + | | link = http://www.koreascience.or.kr/article/ArticleFullRecord.jsp?cn=JBGHLZ_2015_v21n9_596 | ||
| + | }} | ||
'''Building Concept Networks Using a Wikipedia-Based 3-Dimensional Text Representation Model''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Ki-Joo Hong]], [[Han-Joon Kim]] and [[Seung-Yeon Lee]]. | '''Building Concept Networks Using a Wikipedia-Based 3-Dimensional Text Representation Model''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Ki-Joo Hong]], [[Han-Joon Kim]] and [[Seung-Yeon Lee]]. | ||
== Overview == | == Overview == | ||
A concept network is an essential knowledge base for semantic search engines, personalized search systems, recommendation systems, and text mining. Recently, studies of extending concept representation using external [[ontology]] have been frequently conducted. Authors thus propose a new way of building 3-dimensional text model-based concept networks using the world knowledge-level [[Wikipedia]] ontology. In fact, it is desirable that 'concepts' derived from text documents are defined according to the theoretical framework of formal concept analysis, since relationships among concepts generally change over time. In this paper, concept networks hidden in a given document collection are extracted more reasonably by representing a concept as a term-by-document matrix. | A concept network is an essential knowledge base for semantic search engines, personalized search systems, recommendation systems, and text mining. Recently, studies of extending concept representation using external [[ontology]] have been frequently conducted. Authors thus propose a new way of building 3-dimensional text model-based concept networks using the world knowledge-level [[Wikipedia]] ontology. In fact, it is desirable that 'concepts' derived from text documents are defined according to the theoretical framework of formal concept analysis, since relationships among concepts generally change over time. In this paper, concept networks hidden in a given document collection are extracted more reasonably by representing a concept as a term-by-document matrix. | ||
Revision as of 08:30, 10 May 2020
Authors | Ki-Joo Hong Han-Joon Kim Seung-Yeon Lee |
|---|---|
Publication date | 2015 |
DOI | 10.5626/KTCP.2015.21.9.596 |
Links | Original |
Building Concept Networks Using a Wikipedia-Based 3-Dimensional Text Representation Model - scientific work related to Wikipedia quality published in 2015, written by Ki-Joo Hong, Han-Joon Kim and Seung-Yeon Lee.
Overview
A concept network is an essential knowledge base for semantic search engines, personalized search systems, recommendation systems, and text mining. Recently, studies of extending concept representation using external ontology have been frequently conducted. Authors thus propose a new way of building 3-dimensional text model-based concept networks using the world knowledge-level Wikipedia ontology. In fact, it is desirable that 'concepts' derived from text documents are defined according to the theoretical framework of formal concept analysis, since relationships among concepts generally change over time. In this paper, concept networks hidden in a given document collection are extracted more reasonably by representing a concept as a term-by-document matrix.
