ONTODIC A model of linguistic knowledge representation based on description logic

被引:0
|
作者
Alcina, Amparo [1 ]
机构
[1] Univ Jaume 1, Castello De La Plana, Brazil
来源
TERMINOLOGY | 2024年
关键词
dictionary; language resources; knowledge base; ontology; lexical model; terminology modelling; terminology representation; ONTODIC;
D O I
10.1075/term.23030.alc
中图分类号
H0 [语言学];
学科分类号
030303 ; 0501 ; 050102 ;
摘要
After analyzing other linguistic ontologies and lexical models with a variety of perspectives, objectives and results, it was found that they were unsuitable for building dictionaries. To help overcome these issues, a model of linguistic knowledge representation was designed. The ONTODIC model presents two major differences with respect to other ontologies. On the one hand, the aim of ONTODIC has been to model language from the premises of linguistics. This means studying the linguistic elements in their natural contexts, that is, the texts. On the other hand, the design of ONTODIC is based on the principles of description logic.
引用
收藏
页数:30
相关论文
共 50 条
  • [1] A Description Logic Based Knowledge Representation Model for Concept Understanding
    Badie, Farshad
    [J]. AGENTS AND ARTIFICIAL INTELLIGENCE (ICAART 2017), 2018, 10839 : 1 - 21
  • [2] Description logic based knowledge representation for information extraction and query processing
    Manjula, D
    Geetha, TV
    [J]. IETE JOURNAL OF RESEARCH, 2004, 50 (06) : 437 - 441
  • [3] A Fuzzy Knowledge Representation Approach with Description Logic and Logic Program
    Ding, Song
    Tang, Sheng-Qun
    Zhang, Liang
    Liu, Kun
    Qin, Xue
    [J]. ADVANCED TECHNOLOGY IN TEACHING - PROCEEDINGS OF THE 2009 3RD INTERNATIONAL CONFERENCE ON TEACHING AND COMPUTATIONAL SCIENCE (WTCS 2009), VOL 2: EDUCATION, PSYCHOLOGY AND COMPUTER SCIENCE, 2012, 117 : 89 - 96
  • [4] Fuzzy Knowledge Representation for Linguistic Description of Time Series
    Bugarin, A.
    Marin, N.
    Sanchez, D.
    Trivino, G.
    [J]. PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY, 2015, 89 : 1346 - 1353
  • [5] Description Logic Based Formal Representation of Adjectives
    Grits, Maria
    [J]. PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE COMPUTATIONAL LINGUISTICS IN BULGARIA (CLIB '20), 2020, : 81 - 91
  • [6] Knowledge representation in KDD based on linguistic atoms
    Deyi Li
    [J]. Journal of Computer Science and Technology, 1997, 12 (6) : 481 - 496
  • [7] Knowledge Representation in KDD Based on Linguistic Atoms
    李德毅
    [J]. Journal of Computer Science & Technology, 1997, (06) : 481 - 496
  • [8] Knowledge representation and discovery based on linguistic atoms
    Li, DY
    Han, JW
    Shi, XM
    Chan, MC
    [J]. KNOWLEDGE-BASED SYSTEMS, 1998, 10 (07) : 431 - 440
  • [9] Linguistic Petri Nets Based on Cloud Model Theory for Knowledge Representation and Reasoning
    Liu, Hu-Chen
    Luan, Xue
    Li, ZhiWu
    Wu, Jianing
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2018, 30 (04) : 717 - 728
  • [10] Representation and Reasoning of Fuzzy ER Model with Description Logic
    Zhang, Fu
    Ma, Z. M.
    Yan, Li
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2008, : 1360 - 1367