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
相关论文
共 50 条
  • [31] Automatic Background Knowledge Selection for Matching Biomedical Ontologies
    Faria, Daniel
    Pesquita, Catia
    Santos, Emanuel
    Cruz, Isabel F.
    Couto, Francisco M.
    PLOS ONE, 2014, 9 (11):
  • [32] Knowledge mediation: A procedure for the cooperative construction of domain ontologies
    Aschoff, FR
    Schmalhofer, F
    van Elst, L
    ENGINEERING KNOWLEDGE IN THE AGE OF THE SEMANTIC WEB, PROCEEDINGS, 2004, 3257 : 506 - 508
  • [33] Automatic Construction of Domain and Aspect Specific Sentiment Lexicons for Customer Review Mining
    Bross, Juergen
    Ehrig, Heiko
    PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13), 2013, : 1077 - 1086
  • [34] Automatic construction of ontologies for intelligent E-Learning Systems
    del Peso, Jesus
    de Arriaga, Fernando
    WCECS 2007: WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, 2007, : 463 - 467
  • [35] FirstOnt: Automatic Construction of Ontologies out of Multiple Ontological Resources
    Bobed, Carlos
    Mena, Eduardo
    Trillo, Raquel
    ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, 2012, 243 : 1909 - 1919
  • [36] An Analysis of Main Solutions for the Automatic Construction of Ontologies from Text
    Girardi, Rosario
    2016 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2016), 2016, : 457 - 460
  • [37] AUTOMATIC KNOWLEDGE BASES CONSTRUCTION
    GANASCIA, JG
    DATA ANALYSIS, LEARNING SYMBOLIC AND NUMERIC KNOWLEDGE, 1989, : 399 - 406
  • [38] Intelligent E-learning systems: Automatic construction of ontologies
    del Peso, Jesus
    de Arriaga, Fernando
    CURRENT THEMES IN ENGINEERING TECHNOLOGIES, 2008, 1007 : 211 - 222
  • [39] Decomposing Ontologies for the Construction of Distributed Knowledge Bases: The mONTul Method
    Santipantakis, Georgios
    Vouros, George A.
    INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2015, 24 (05)
  • [40] Construction and exploitation of an historical knowledge graph to deal with the evolution of ontologies
    Cardoso, Silvio Domingos
    Da Silveira, Marcos
    Pruski, Cedric
    KNOWLEDGE-BASED SYSTEMS, 2020, 194