Heuristic-based approach for constructing hierarchical knowledge structures

Fu Ching Tsai, Yi Chung Cheng, Sheng-Tun Li, Ciian Yuan Chen

研究成果: Conference contribution

摘要

Knowledge structure identify the way how people think and provides a macro view of human perception. However, the usability of knowledge is limited due to its structural inconsistency and complexity which makes it difficult to communicate and share. Without knowledge transferring, individuals and organizations are not capable to achieve better performance by learning and communication from others. Previous researches exhibit several disadvantages, such as multiple inheritance and lacking hierarchical features, in state-of-the- art techniques. To tackle this critical matter, we propose a new tree-based knowledge structure for achieving knowledge interoperability and enhancing structural comprehensiveness. According to our evaluation results; the proposed method successfully formulates the hierarchical relations from human cognition and increases the complexity in knowledge navigation and visualization.

原文English
主出版物標題Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings
頁面439-448
頁數10
DOIs
出版狀態Published - 2009 十一月 9
事件22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009 - Tainan, Taiwan
持續時間: 2009 六月 242009 六月 27

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5579 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009
國家Taiwan
城市Tainan
期間09-06-2409-06-27

指紋

Interoperability
Macros
Navigation
Visualization
Heuristics
Communication
Human Perception
Cognition
Inconsistency
Usability
Knowledge
Evaluation

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Theoretical Computer Science

引用此文

Tsai, F. C., Cheng, Y. C., Li, S-T., & Chen, C. Y. (2009). Heuristic-based approach for constructing hierarchical knowledge structures. 於 Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings (頁 439-448). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5579 LNAI). https://doi.org/10.1007/978-3-642-02568-6_45
Tsai, Fu Ching ; Cheng, Yi Chung ; Li, Sheng-Tun ; Chen, Ciian Yuan. / Heuristic-based approach for constructing hierarchical knowledge structures. Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings. 2009. 頁 439-448 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{1084d281c83043e3911e423099715107,
title = "Heuristic-based approach for constructing hierarchical knowledge structures",
abstract = "Knowledge structure identify the way how people think and provides a macro view of human perception. However, the usability of knowledge is limited due to its structural inconsistency and complexity which makes it difficult to communicate and share. Without knowledge transferring, individuals and organizations are not capable to achieve better performance by learning and communication from others. Previous researches exhibit several disadvantages, such as multiple inheritance and lacking hierarchical features, in state-of-the- art techniques. To tackle this critical matter, we propose a new tree-based knowledge structure for achieving knowledge interoperability and enhancing structural comprehensiveness. According to our evaluation results; the proposed method successfully formulates the hierarchical relations from human cognition and increases the complexity in knowledge navigation and visualization.",
author = "Tsai, {Fu Ching} and Cheng, {Yi Chung} and Sheng-Tun Li and Chen, {Ciian Yuan}",
year = "2009",
month = "11",
day = "9",
doi = "10.1007/978-3-642-02568-6_45",
language = "English",
isbn = "3642025676",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "439--448",
booktitle = "Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings",

}

Tsai, FC, Cheng, YC, Li, S-T & Chen, CY 2009, Heuristic-based approach for constructing hierarchical knowledge structures. 於 Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 5579 LNAI, 頁 439-448, 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, 09-06-24. https://doi.org/10.1007/978-3-642-02568-6_45

Heuristic-based approach for constructing hierarchical knowledge structures. / Tsai, Fu Ching; Cheng, Yi Chung; Li, Sheng-Tun; Chen, Ciian Yuan.

Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings. 2009. p. 439-448 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5579 LNAI).

研究成果: Conference contribution

TY - GEN

T1 - Heuristic-based approach for constructing hierarchical knowledge structures

AU - Tsai, Fu Ching

AU - Cheng, Yi Chung

AU - Li, Sheng-Tun

AU - Chen, Ciian Yuan

PY - 2009/11/9

Y1 - 2009/11/9

N2 - Knowledge structure identify the way how people think and provides a macro view of human perception. However, the usability of knowledge is limited due to its structural inconsistency and complexity which makes it difficult to communicate and share. Without knowledge transferring, individuals and organizations are not capable to achieve better performance by learning and communication from others. Previous researches exhibit several disadvantages, such as multiple inheritance and lacking hierarchical features, in state-of-the- art techniques. To tackle this critical matter, we propose a new tree-based knowledge structure for achieving knowledge interoperability and enhancing structural comprehensiveness. According to our evaluation results; the proposed method successfully formulates the hierarchical relations from human cognition and increases the complexity in knowledge navigation and visualization.

AB - Knowledge structure identify the way how people think and provides a macro view of human perception. However, the usability of knowledge is limited due to its structural inconsistency and complexity which makes it difficult to communicate and share. Without knowledge transferring, individuals and organizations are not capable to achieve better performance by learning and communication from others. Previous researches exhibit several disadvantages, such as multiple inheritance and lacking hierarchical features, in state-of-the- art techniques. To tackle this critical matter, we propose a new tree-based knowledge structure for achieving knowledge interoperability and enhancing structural comprehensiveness. According to our evaluation results; the proposed method successfully formulates the hierarchical relations from human cognition and increases the complexity in knowledge navigation and visualization.

UR - http://www.scopus.com/inward/record.url?scp=70350676677&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70350676677&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-02568-6_45

DO - 10.1007/978-3-642-02568-6_45

M3 - Conference contribution

AN - SCOPUS:70350676677

SN - 3642025676

SN - 9783642025679

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 439

EP - 448

BT - Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings

ER -

Tsai FC, Cheng YC, Li S-T, Chen CY. Heuristic-based approach for constructing hierarchical knowledge structures. 於 Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings. 2009. p. 439-448. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-02568-6_45