Transfer of knowledge via semantic schemas

被引：0
|
作者：
Tandareanu, Nicolae [1 ]
机构：
[1] Univ Craiova, Dept Comp Sci, Craiova 1100, Romania
来源：
WMSCI 2005: 9TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL 4 | 2005年
关键词：
Peano algebra; inference; interpretation; semantic schema; knowledge representation;
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：
The general structure of the paper is the following: Theoretical results: a partial order on the set S of all semantic schemas is introduced; the main result of this part is the following: S is a join semilattice (for every S-1, S-2 E S there is sup {S-1, S-2} epsilon S) Two applications concerning the use of this result to model the distributed knowledge and the reasoning by analogy are presented. Finally several open problems axe highlighted.
引用
收藏
页码：70 / 75
页数：6
相关论文
共 50 条
  • [1] Semantic schemas and applications in logical representation of knowledge
    Tandareanu, N
    [J]. ISAS/CITSA 2004: International Conference on Cybernetics and Information Technologies, Systems and Applications and 10th International Conference on Information Systems Analysis and Synthesis, Vol 3, Proceedings, 2004, : 82 - 87
  • [2] A three-level distributed knowledge system based on semantic schemas
    Tandareanu, N
    Ghindeanu, M
    [J]. SIXTEENTH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2005, : 423 - 427
  • [3] Pattern-based refinement schemas for design knowledge transfer
    Khriss, I
    Keller, RK
    Hamid, IA
    [J]. KNOWLEDGE-BASED SYSTEMS, 2000, 13 (06) : 403 - 415
  • [4] Adaptive Informative Semantic Knowledge Transfer for Knowledge Distillation
    Xu, Ruijian
    Jiang, Ning
    Tang, Jialiang
    Huang, Xinlei
    [J]. 2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS 2024, 2024,
  • [5] Ensemble Knowledge Transfer for Semantic Segmentation
    Nigam, Ishan
    Huang, Chen
    Ramanan, Deva
    [J]. 2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018), 2018, : 1499 - 1508
  • [6] Semantic integration of conceptual schemas
    Mirbel, I
    [J]. DATA & KNOWLEDGE ENGINEERING, 1997, 21 (02) : 183 - 195
  • [7] Domain Adaptive Remote Sensing Scene Recognition via Semantic Relationship Knowledge Transfer
    Zhao, Ying
    Li, Shuang
    Liu, Chi Harold
    Han, Yuqi
    Shi, Hao
    Li, Wei
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [8] Knowledge Transfer with Interactive Learning of Semantic Relationships
    Choi, Jonghyun
    Hwang, Sung Ju
    Sigal, Leonid
    Davis, Larry S.
    [J]. THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, : 1505 - 1511
  • [9] The Exchange from Relational Schemas to XML Schemas Based on Semantic Constraints
    YANG Chengsen
    [J]. Wuhan University Journal of Natural Sciences, 2008, (04) : 485 - 489
  • [10] Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
    Kim, Beomyoung
    Yoo, Youngjoon
    Rhee, Chae Eun
    Kim, Junmo
    [J]. 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, : 4268 - 4277
12345