LARGE ENGINEERING KNOWLEDGE BASES

被引:2
|
作者
TYUGU, E [1 ]
机构
[1] ROYAL INST TECHNOL,DEPT TELEINFORMAT,S-16440 STOCKHOLM,SWEDEN
来源
关键词
KNOWLEDGE ACQUISITION; KNOWLEDGE SYSTEMS; LARGE KNOWLEDGE BASES; ENGINEERING KNOWLEDGE REPRESENTATION;
D O I
10.1016/0954-1810(93)90009-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper concerns the development of numerous knowledge bases for engineering applications and integrating them into one knowledge environment applicable in different problem domains. It discusses steps made towards building larger heterogeneous engineering knowledge bases. It analyses the requirements to large knowledge bases, presents their architecture and discusses the content and size of general-purpose engineering knowledge bases.
引用
收藏
页码:265 / 270
页数:6
相关论文
共 50 条
  • [41] Topological collections and knowledge bases for applications in crystal engineering of coordination compounds
    Alexandrov, Eugeny V.
    Shevchenko, Alexander P.
    Blatov, Vladislav A.
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2016, 72 : S165 - S165
  • [42] PRESENTATION OF THE ENGINEERING MODELS IN KNOWLEDGE BASES AND PERSONAL COMPUTERIZED DESIGNING SYSTEMS
    TAMM, BG
    TYUGU, EH
    VESTNIK AKADEMII NAUK SSSR, 1988, (05) : 39 - 49
  • [43] Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases
    Chen, Yang
    Goldberg, Sean
    Wang, Daisy Zhe
    Johri, Soumitra Siddharth
    SIGMOD'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2016, : 835 - 846
  • [44] A KNOWLEDGE REPRESENTATION LANGUAGE FOR LARGE KNOWLEDGE BASES AND INTELLIGENT INFORMATION-RETRIEVAL SYSTEMS
    ZARRI, GP
    INFORMATION PROCESSING & MANAGEMENT, 1990, 26 (03) : 349 - 370
  • [45] Hybrid Reasoning Over Large Knowledge Bases Using On-The-Fly Knowledge Extraction
    Stoilos, Giorgos
    Juric, Damir
    Wartak, Szymon
    Schulz, Claudia
    Khodadadi, Mohammad
    SEMANTIC WEB (ESWC 2020), 2020, 12123 : 69 - 85
  • [46] Integration of Large Scale Knowledge Bases using Probabilistic Graphical Models
    Dutta, Arnab Kumar
    WSDM'14: PROCEEDINGS OF THE 7TH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING, 2014, : 643 - 647
  • [47] Empowering large chemical knowledge bases for exposomics: PubChemLite meets MetFrag
    Emma L. Schymanski
    Todor Kondić
    Steffen Neumann
    Paul A. Thiessen
    Jian Zhang
    Evan E. Bolton
    Journal of Cheminformatics, 13
  • [48] Decomposition-based Reasoning for Large Knowledge Bases in Description Logics
    Le Pham, Thi Anh
    Le-Thanh, Nhan
    LEADING THE WEB IN CONCURRENT ENGINEERING: NEXT GENERATION CONCURRENT ENGINEERING, 2006, 143 : 288 - +
  • [49] Decomposition-based reasoning for large knowledge bases in description logics
    Le Pham, Anh
    Le-Thanh, Nhan
    Sander, Peter
    INTEGRATED COMPUTER-AIDED ENGINEERING, 2008, 15 (01) : 53 - 70
  • [50] An integrated development environment for the design and maintenance of large configuration knowledge bases
    Felfernig, A
    Friedrich, G
    Jannach, D
    Stumptner, M
    ARTIFICIAL INTELLIGENCE IN DESIGN '00, 2000, : 169 - 189