Header

UZH-Logo

Maintenance Infos

Resolution of Semantic Heterogeneity in Database Schema Integration Using Formal Ontologies


Hakimpour, Farshad; Geppert, Andreas (2005). Resolution of Semantic Heterogeneity in Database Schema Integration Using Formal Ontologies. Information Technology and Management, 6(1):97-122.

Abstract

This paper addresses the problem of handling semantic heterogeneity during database schema integration. We focus on the semantics of terms used as identifiers in schema definitions. Our solution does not rely on the names of the schema elements or the structure of the schemas. Instead, we utilize formal ontologies consisting of intensional definitions of terms represented in a logical language. The approach is based on similarity relations between intensional definitions in different ontologies. We present the definitions of similarity relations based on intensional definitions in formal ontologies. The extensional consequences of intensional relations are addressed. The paper shows how similarity relations are discovered by a reasoning system using a higher-level ontology. These similarity relations are then used to derive an integrated schema in two steps. First, we show how to use similarity relations to generate the class hierarchy of the global schema. Second, we explain how to enhance the class definitions with attributes. This approach reduces the cost of generating or re-generating global schemas for tightly-coupled federated databases

Abstract

This paper addresses the problem of handling semantic heterogeneity during database schema integration. We focus on the semantics of terms used as identifiers in schema definitions. Our solution does not rely on the names of the schema elements or the structure of the schemas. Instead, we utilize formal ontologies consisting of intensional definitions of terms represented in a logical language. The approach is based on similarity relations between intensional definitions in different ontologies. We present the definitions of similarity relations based on intensional definitions in formal ontologies. The extensional consequences of intensional relations are addressed. The paper shows how similarity relations are discovered by a reasoning system using a higher-level ontology. These similarity relations are then used to derive an integrated schema in two steps. First, we show how to use similarity relations to generate the class hierarchy of the global schema. Second, we explain how to enhance the class definitions with attributes. This approach reduces the cost of generating or re-generating global schemas for tightly-coupled federated databases

Statistics

Citations

Dimensions.ai Metrics

Altmetrics

Downloads

37 downloads since deposited on 04 Jul 2019
31 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:National licences > 142-005
Dewey Decimal Classification:Unspecified
Scopus Subject Areas:Physical Sciences > Information Systems
Social Sciences & Humanities > Communication
Social Sciences & Humanities > Business, Management and Accounting (miscellaneous)
Language:English
Date:1 January 2005
Deposited On:04 Jul 2019 11:14
Last Modified:31 Jul 2020 02:50
Publisher:Springer
ISSN:1385-951X
OA Status:Green
Publisher DOI:https://doi.org/10.1007/s10799-004-7777-0
Related URLs:https://www.swissbib.ch/Search/Results?lookfor=nationallicencespringer101007s1079900477770 (Library Catalogue)

Download

Green Open Access

Download PDF  'Resolution of Semantic Heterogeneity in Database Schema Integration Using Formal Ontologies'.
Preview
Content: Published Version
Language: English
Filetype: PDF (Nationallizenz 142-005)
Size: 354kB
View at publisher