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Data & Knowledge Engineering



Subject: Data & Knowledge Engineering
Date: Tue, 30 Mar 1999 17:56:29 -0500 (EST)

Data & Knowledge Engineering

http://www.elsevier.com:80/inca/publications/store/5/0/5/6/0/8/
http://www.elsevier.com/locate/datak 

Content available to subscribers at:

http://www.sciencedirect.com/science/journal/0169023X

ISSN: 0169-023X 

AIMS AND SCOPE

Database Systems and Knowledgebase Systems share many common principles.
Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and
interaction between these two related fields of interest. DKE reaches a
world-wide audience of researchers, designers, managers and users. The
major aim of the journal is to identify, investigate and analyze the
underlying principles in the design and effective use of these systems.
DKE achieves this aim by publishing original research results, technical
advances and news items concerning data engineering, knowledge
engineering, and the interface of these two fields. 

DKE covers the following topics:

1. Representation and Manipulation of Data & Knowledge:  Conceptual data
models. Knowledge representation techniques.  Data/knowledge manipulation
languages and techniques. 

2. Architectures of database, expert, or knowledge-based systems:  New
architectures for database / knowledge base / expert systems, design and
implementation techniques, languages and user interfaces, distributed
architectures. 

3. Construction of data/knowledge bases: Data / knowledge base design
methodologies and tools, data/knowledge acquisition methods,
integrity/security/maintenance issues. 

4. Applications, case studies, and management issues: Data administration
issues, knowledge engineering practice, office and engineering
applications. 

5. Tools for specifying and developing Data and Knowledge Bases using
tools based on Linguistics or Human Machine Interface principles. 

6. Communication aspects involved in implementing, designing and using
KBSs in Cyberspace.

Plus... conference reports, calendar of events, book reviews etc. 

Contact:

     Editor-in-Chief
     P.P. Chen
     chen@bit.csc.lsu.edu 


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