NDLI: Contextual Partitioning for Comprehension of OODB Schemas

Content Provider	Springer Nature Link
Author	Gu, Huanying Perl, Yehoshua Geller, James Neuhold, Erich J.
Copyright Year	2004
Abstract	Object-oriented databases (OODBs) have been utilized for complex modeling tasks within a variety of application domains. The OODB schema, typically expressed in a graphical notation, can serve as a useful presentation tool for the information contained in the underlying OODB. However, such a schema can be a large, complex network of classes and relationships. This may greatly hinder its effectiveness in helping users gain an understanding of the OODB’s contents and data organization. To facilitate this orientation process, a theoretical framework is presented that guides the refinement\/ of an existing schema’s subclass-of\/ relationship hierarchy – the backbone of any OODB. The framework sets forth three rules which, when satisfied, lead to the establishment of a collection of contexts, each of which exhibits an internal subclass-of\/ tree structure. A formal proof of this result is presented. An algorithmic methodology, involving a human–computer interaction, describes how the approach can be applied to a given OODB schema. An application of the methodology to an example OODB schema is included.
Starting Page	315
Ending Page	344
Page Count	30
File Format	PDF
ISSN	02191377
Journal	Knowledge and Information Systems
Volume Number	6
Issue Number	3
e-ISSN	02193116
Language	English
Publisher	Springer London
Publisher Date	2004-05-01
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Comprehension Context Object-oriented database modeling Object-oriented database schema Schema partitioning Subclass hierarchy User orientation Information Systems and Communication Service IT in Business
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Information Systems Human-Computer Interaction Hardware and Architecture Software

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