Semantic Networks and Associative Databases: Two Approaches to Knowledge Representation and Reasoning
Two models, one originating from an artificial-intelligence paradigm and the other from database research, that incorporate connectionist techniques into their knowledge representation and reasoning processes are described. The first approach, called evidential reasoning, is based on semantic networ...
Saved in:
Main Authors: | LIM, Ee Peng, CHERKASSY, Vladimir |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
1992
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/109 https://doi.org/10.1109/64.153462 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Entity Identification in Database Integration: An Evidential Reasoning Approach
by: LIM, Ee Peng, et al.
Published: (1993) -
An evidential reasoning approach to attribute value conflict resolution in database integration
by: LIM, Ee Peng, et al.
Published: (1996) -
Unsupervised deep structured semantic models for commonsense reasoning
by: WANG, Shuohang, et al.
Published: (2019) -
Visualizing and querying semantic social network
by: SUN, Aixin, et al.
Published: (2011) -
Linear correlation discovery in databases: A data mining approach
by: CHUA, Cecil, et al.
Published: (2005)