From formal concept analysis to contextual logic

被引:0
|
作者
Dau, F [1 ]
Klinger, J [1 ]
机构
[1] Tech Univ Darmstadt, Fachbereich Math, D-64289 Darmstadt, Germany
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A main goal of Formal Concept Analysis from its very beginning has been the support of rational communication. The source of this goal lies in the understanding of mathematics as a science which should encompass both its philosophical basis and its social consequences. This can be achieved by a process named 'restructuring'. This approach shall be extended to logic, which is based on the doctrines of concepts, judgments, and conclusions. The program of restructuring logic is named Contextual Logic (CL). A main idea of CL is to combine Formal Concept Analysis and Concept Graphs (which are mathematical structures derived from conceptual graphs). Concept graphs mathematize judgments which combine concepts, and conclusions can be drawn by inferring concept graphs from others. So we see that concept graphs can be understood as a crucial part of the mathematical implementation of CL, based on Formal Concept Analysis as the mathematization of the doctrine of concepts.
引用
收藏
页码:81 / 100
页数:20
相关论文
共 50 条
  • [21] Approximation in formal concept analysis
    Shao, MW
    Zhang, WX
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 1, PROCEEDINGS, 2005, 3641 : 43 - 53
  • [22] Scalability in formal concept analysis
    Griffith Univ, Queensland, Australia
    Comput Intell, 1 (11-27):
  • [23] Scalability in formal concept analysis
    Cole, R
    Eklund, PW
    COMPUTATIONAL INTELLIGENCE, 1999, 15 (01) : 11 - 27
  • [24] Generalized formal concept analysis
    Chaudron, L
    Maille, N
    CONCEPTUAL STRUCTURES: LOGICAL, LINGUISTIC, AND COMPUTATIONAL ISSUES, PROCEEDINGS, 2000, 1867 : 357 - 370
  • [25] Group adaptation, formal darwinism and contextual analysis
    Okasha, S.
    Paternotte, C.
    JOURNAL OF EVOLUTIONARY BIOLOGY, 2012, 25 (06) : 1127 - 1139
  • [26] Constructing and Extending Description Logic Ontologies using Methods of Formal Concept Analysis A Dissertation Summary
    Kriegel, Francesco
    KUNSTLICHE INTELLIGENZ, 2020, 34 (03): : 399 - 403
  • [27] Concept Learning in AutomationML with Formal Semantics and Inductive Logic Programming
    Hua, Yingbing
    Hein, Bjoern
    2018 IEEE 14TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2018, : 1542 - 1547
  • [28] Formal concept analysis for knowledge discovery from biological data
    Raza, Khalid
    INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 2017, 18 (04) : 281 - 300
  • [29] Formal Contexts, Formal Concept Analysis, and Galois Connections
    Denniston, Jeffrey T.
    Melton, Austin
    Rodabaugh, Stephen E.
    ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE, 2013, (129): : 105 - 120
  • [30] Ontology Extraction from MongoDB Using Formal Concept Analysis
    Jabbari, Simin
    Stoffel, Kilian
    PROCEEDINGS OF 2017 2ND INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING AND APPLICATIONS (ICKEA), 2017, : 178 - 182