KStore: A Dynamic Meta-Knowledge Repository for Intelligent BI

被引:3
|
作者
Mazzagatti, Jane Campbell [1 ,2 ,3 ]
机构
[1] As It Is Inc, Amherst, NY 14428 USA
[2] Phaneron Technol, Pune, Maharashtra, India
[3] UNISYS, Syst Software Engn, Blue Bell, PA 19422 USA
关键词
AI; Artificial Intelligence; BI; Business Intelligence; Data Structure; Data Model; Cognitive Model; Data Engine; Knowledge Store; KStore; K; Peirce; phaneron; Triadic Continuum;
D O I
10.4018/jiit.2009040105
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
KStore is a computer data structure based on the Phaneron of C.S. Peirce (Peirce, 1931-1958). This structure, called a Knowledge Store, KStore or simply K, is currently being developed as a storage engine to support BI data queries and analysis (Mazzagatti, 2007). The first Ks being constructed handle nominal data and record sequences of field/record data variables and their relationships. These rudimentary Ks are dynamic allowing real-time data processing, ad hoc queries and data compression, to facilitate data mining. This paper describes a next step in the development of the K structure, to record into the K structure, meta data associated with the field/record data, in particular the column or dimension names and a source indicator.
引用
收藏
页码:68 / 80
页数:13
相关论文
共 50 条
  • [41] Crowdmeta: Crowdsourcing truth inference with meta-Knowledge transfer
    Zhang, Jing
    Xu, Sunyue
    Sheng, Victor S.
    PATTERN RECOGNITION, 2023, 140
  • [42] Meta-knowledge in systems design: panacea ... or undelivered promise?
    Kalfoglou, Y
    Menzies, T
    Althoff, KD
    Motta, E
    KNOWLEDGE ENGINEERING REVIEW, 2000, 15 (04): : 381 - 404
  • [43] Enriching a biomedical event corpus with meta-knowledge annotation
    Thompson, Paul
    Nawaz, Raheel
    McNaught, John
    Ananiadou, Sophia
    BMC BIOINFORMATICS, 2011, 12
  • [44] Fostering sharing of unshared knowledge by having access to the collaborators' meta-knowledge structures
    Engelmann, Tanja
    Hesse, Friedrich W.
    COMPUTERS IN HUMAN BEHAVIOR, 2011, 27 (06) : 2078 - 2087
  • [45] Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer
    Brazdil, Pavel
    van Rijn, Jan N.
    Gouk, Henry
    Mohr, Felix
    ECMLPKDD WORKSHOP ON META-KNOWLEDGE TRANSFER, VOL 191, 2022, 191 : 1 - 7
  • [46] Using meta-knowledge within a multilevel framework for KBS development
    Univ of Miami, Coral Gables, United States
    Int J Hum Comput Stud, 4 (523-547):
  • [47] Control of hypothesis space using meta-knowledge in inductive learning
    Inuzuka, Nobuhiro
    Ishida, Hiroyuki
    Nakano, Tomofumi
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2008, 5178 : 911 - 918
  • [48] Towards successful knowledge integration in online collaboration: An experiment on the role of meta-knowledge
    Osinski M.
    Rummel N.
    Proceedings of the ACM on Human-Computer Interaction, 2019, 3 (CSCW)
  • [49] Meta-knowledge management in multistrategy process-oriented knowledge, discovery systems
    Pechenizkiy, M
    Tsymbal, A
    Puuronen, S
    PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS DEVELOPMENT: ADVANCES IN THEORY, PRACTICE AND EDUCATION, 2004, : 317 - 328
  • [50] Using meta-knowledge within a multilevel framework for KBS development
    Plant, RT
    Gamble, R
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 1997, 46 (04) : 523 - 547