Title
A Framework for Method-Specific Knowledge Compilation from Databases
Abstract
Generality and scale are important but difficult issues in knowledge engineering. At the root of the difficulty lie two challenging issues: how to accumulate huge volumes of knowledge and how to support heterogeneous knowledge and processing. One approach to the first issue is to reuse legacy knowledge systems, integrate knowledge systems with legacy databases, and enable sharing of the databases by multiple knowledge systems. We present an architecture called HIPED for realizing this approach. HIPED converts the second issue above into a new form: how to convert data accessed from a legacy database into a form appropriate to the processing method used in a legacy knowledge system. One approach to this reformed issue is to use method-specific compilation of data into knowledge. We describe an experiment in which a legacy knowledge system called INTERACTIVE KRITIK is integrated with an ORACLE database. The experiment indicates the computational feasibility of method-specific data-to-knowledge compilation.
Year
DOI
Venue
2001
10.1023/A:1012545615073
J. Intell. Inf. Syst.
Keywords
Field
DocType
design,knowledge compilation,large-scale knowledge bases
Data mining,Knowledge integration,Domain knowledge,Computer science,Knowledge-based systems,Knowledge compilation,Knowledge engineering,Knowledge extraction,Knowledge base,Database,Open Knowledge Base Connectivity
Journal
Volume
Issue
ISSN
17
1
1573-7675
Citations 
PageRank 
References 
1
0.38
21
Authors
4
Name
Order
Citations
PageRank
J. William Murdock1104260.96
Ashok K. Goel2972146.58
Michael J. Donahoo313752.31
Shamkant Navathe445632112.44