Semantic Information Retrieval: current situation

被引:0
|
作者
Zargayouna, Haifa [1 ]
Roussey, Catherine [2 ]
Chevallet, Jean-Pierre [3 ]
机构
[1] Univ Paris 13, Sorbonne Paris Cite, CNRS, LIPN,UMR 7030, Villetaneuse, France
[2] Irstea UR TSCF, Aubiere, France
[3] Univ Grenoble Alpes, CNRS, LIG, UMR 5217, Grenoble, France
来源
TRAITEMENT AUTOMATIQUE DES LANGUES | 2015年 / 56卷 / 03期
关键词
semantic annotation; indexation; information retrieval model; semantic resource; ontology;
D O I
暂无
中图分类号
H0 [语言学];
学科分类号
030303 ; 0501 ; 050102 ;
摘要
This article focuses on the field of Semantic Information Retrieval (IR), which is at the intersection of several disciplines: Information Retrieval, Knowledge Engineering and Natural Language Processing. We present the basics to understand how a semantic IR system works. We also present a classification of the types of semantic resources used in information retrieval. We detail the role of the documents' annotation phase using a resource and the processing of these annotations in the indexing space. We detail the three main types of information retrieval models and how the new indexing space is exploited.
引用
收藏
页码:49 / 73
页数:25
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