1995
DOI: 10.3233/ica-1995-2102
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A Fundamental Framework for Realizing Semantic Interoperability in a Multidatabase Environment

Abstract: In multidatabase research, the realization of semantic interoperability is the most important issue for resolving semantic heterogeneity between different databases. In this paper, we propose a fundamental framework for realizing semantic interoperability at the level of semantic relationships between data items in a multidatabase environment. We present a metadatabase system which extracts the significant information from different databases. The metadatabase system uses a mathematical model of meaning to dyn… Show more

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Cited by 20 publications
(13 citation statements)
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“…The details of the implementation method of a multidatabase system are shown in the references [13,14,15,16].…”
Section: A Basic Methodsmentioning
confidence: 99%
“…The details of the implementation method of a multidatabase system are shown in the references [13,14,15,16].…”
Section: A Basic Methodsmentioning
confidence: 99%
“…These vectors are synthesized into the semantic cen ter vector [ 1,2] in the metadata space. The subspace is constructed by the axes on which projection values from the semantic center vector are greater than a giver threshold.…”
Section: Selecting a Subspace Of The Metadata Space And Quan Tizationmentioning
confidence: 99%
“…Mapping matrixes are used to map input into the semantic space. Different mapping matrixes are required when the semantic space model is applied in different application areas [7][8][9][10][11][12][13][14][15]. Therefore, we developed many methods to create mapping matrixes and apply the model in the areas of semantic information retrieving [10,11,15], semantic information classifying [12], semantic information extracting [13], and semantic information analyzing on reason and results [15], etc.…”
Section: Introductionmentioning
confidence: 99%