Using OODB modeling to partition a vocabulary into structurally andsemantically uniform concept groups
Li-min Liu; Halper, M.; Geller, J.; Perl, Y.
Knowledge and Data Engineering, IEEE Transactions on
Volume 14, Issue 4, Jul/Aug 2002 Page(s):850 - 866
Digital Object Identifier 10.1109/TKDE.2002.1019218
Summary:Controlled vocabularies (CVs) are networks of concepts that unify
disparate terminologies and facilitate the process of information
sharing within an application domain. We describe a general methodology
for representing an existing CV as an object-oriented database (OODB),
called an object-oriented vocabulary repository (OOVR). A formal
description of the OOVR methodology, which is based on a structural
abstraction technique, is given, along with an algorithmic description
and a number of theorems pertaining to some of the methodology's formal
characteristics. An OOVR offers a two-level (concept level and schema
level) view of a CV, with the schema-level view serving as an important
abstraction that can aid in orientation to the CV's contents. While an
OOVR can also assist in traversals of the CV, we have identified certain
special CV configurations where such traversals can be problematic. To
address this, we introduce - based on the original methodology - an
enhanced OOVR methodology that utilizes both structural and semantic
features to partition and model a CV's constituent concepts. With its
basis in the notions of area and the recursively defined articulation
concept, an enhanced OOVR representation provides users with an improved
CV view comprising groups of concepts that are uniform both in their
structure and semantics. An algorithmic description of the singly-rooted
OOVR methodology and theorems describing some of its formal properties
are given. The results of applying it to a large existing CV are
discussed
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