A Novel Approach for Frame-Based Knowledge Similarity

Author

Huang, Chin-Jung ; Tsai, Chi-Hong

Author_Institution

Dept. of Mech. & CAE, St. John´´s Univ., Taipei

fYear

2008

fDate

18-20 June 2008

Firstpage

310

Lastpage

310

Abstract

This study proposes the RF-RS-RV structure for frame-based knowledge and integrates methods of conditional probability, vector matrices, and rule-based inference to establish a frame-based knowledge similarity algorithm. This algorithm can accurately calculate frame-based knowledge similarity matrices and determine the relationship among knowledge items, this relationship can function as the knowledge source for conflicts treatments and increase the added-value of the knowledge, so wrong decisions be avoided.

Keywords

data structures; inference mechanisms; knowledge representation; matrix algebra; probability; vectors; RF-RS-RV data structure; conditional probability; frame-based knowledge representation; frame-based knowledge similarity algorithm; rule-based inference; vector matrix; Artificial intelligence; Automation; Computer aided engineering; Computer architecture; Euclidean distance; Inference algorithms; Knowledge representation; Mechatronics; Solid modeling; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on

Conference_Location

Dalian, Liaoning

Print_ISBN

978-0-7695-3161-8

Electronic_ISBN

978-0-7695-3161-8

Type

conf

DOI

10.1109/ICICIC.2008.67

Filename

4603499