Automatic construction of lexicons, taxonomies, ontologies, and other knowledge structures

被引:20
|
作者
Medelyan, Olena [1 ]
Witten, Ian H. [2 ]
Divoli, Anna [1 ]
Broekstra, Jeen [3 ]
机构
[1] Pingar Res, Auckland, New Zealand
[2] Univ Waikato, Hamilton, New Zealand
[3] Rivuli Dev, Wellington, New Zealand
关键词
DISCOVERY; METHODOLOGY; HIERARCHIES; EXTRACTION; WORDNET; REALISM;
D O I
10.1002/widm.1097
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
, structured, representations of knowledge such as lexicons, taxonomies, and ontologies have proven to be powerful resources not only for the systematization of knowledge in general, but to support practical technologies of document organization, information retrieval, natural language understanding, and question-answering systems. These resources are extremely time consuming for people to create and maintain, yet demand for them is growing, particularly in specialized areas ranging from legacy documents of large enterprises to rapidly changing domains such as current affairs and celebrity news. Consequently, researchers are investigating methods of creating such structures automatically from document collections, calling on the proliferation of interlinked resources already available on the web for background knowledge and general information about the world. This review surveys what is possible, and also outlines current research directions. (C) 2013 Wiley Periodicals, Inc.
引用
收藏
页码:257 / 279
页数:23
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