Paper Info
Title
The Special Issue of AI Magazine on Structured Knowledge Transfer.
Abstract
This issue summarizes the state of the art in structured knowledge transfer, which is an emerging approach to the problem of knowledge acquisition and reuse. Its goal is to capture, in a general form, the internal structure of the objects, relations, strategies, and processes used to solve tasks drawn from a source domain, and exploit that knowledge to improve performance in a target domain.
Year
DOI
Venue
2011
10.1609/aimag.v32i1.2328
AI MAGAZINE
Field
DocType
Volume
Body of knowledge,Domain knowledge,Reuse,Computer science,Knowledge transfer,Knowledge management,Exploit,Knowledge engineering,Knowledge extraction,Artificial intelligence,Knowledge acquisition
Journal
32
Issue
ISSN
Citations 
SP1
0738-4602
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Daniel G. Shapiro118788.21
Hector Muñoz-Avila252244.02
David J. Stracuzzi39125.68