Semantic Heterogeneity in Multidatabase Systems

2004 ◽  
Vol 15 (4) ◽  
pp. 71-87 ◽  
Author(s):  
Te-Wei Wang ◽  
Kenneth E. Murphy
Keyword(s):  
Semantic Heterogeneity ◽  
Multidatabase Systems

Report of the Workshop on Semantic Heterogeneity and Interpolation in multidatabase Systems

1993 ◽  
Vol 22 (3) ◽  
pp. 47-56 ◽  
Author(s):  
Pam Drew ◽  
Roger King ◽  
Dennis McLeod ◽  
Marek Rusinkiewicz ◽  
Avi Silberschatz
Keyword(s):  
Semantic Heterogeneity ◽  
Multidatabase Systems

scholarly journals Overcoming Heterogeneity and Autonomy in Multidatabase Systems

2001 ◽  
Vol 167 (2) ◽  
pp. 132-172 ◽  
Author(s):  
Sharad Mehrotra ◽  
Rajeev Rastogi ◽  
Yuri Breitbart ◽  
Henry F Korth ◽  
Abraham Silberschatz
Keyword(s):  
Multidatabase Systems

A Systematic Approach for Managing the Risk Related to Semantic Interoperability between Geospatial Datacubes

2012 ◽  
pp. 59-80
Author(s):  
Tarek Sboui ◽  
Mehrdad Salehi ◽  
Yvan Bédard
Keyword(s):  
Decision Support ◽  
General Framework ◽  
Semantic Interoperability ◽  
General Level ◽  
Semantic Heterogeneity ◽  
Top Down ◽  
Geographic Knowledge ◽  
Transactional Databases ◽  
The Subject ◽  
Detailed Level

Geospatial datacubes are the database backend of novel types of spatiotemporal decision-support systems employed in large organizations. These datacubes extend the datacube concept underlying the field of Business Intelligence (BI) into the realm of geospatial decision-support and geographic knowledge discovery. The interoperability between geospatial datacubes facilitates the reuse of their content. Such interoperability, however, faces risks of data misinterpretation related to the heterogeneity of geospatial datacubes. Although the interoperability of transactional databases has been the subject of several research works, no research dealing with the interoperability of geospatial datacubes exists. In this paper, the authors support the semantic interoperability between geospatial datacubes and propose a categorization of semantic heterogeneity problems that may occur in geospatial datacubes. Additionally, the authors propose an approach to deal with the related risks of data misinterpretation, which consists of evaluating the fitness-for-use of datacubes models, and a general framework that facilitates making appropriate decisions about such risks. The framework is based on a hierarchical top-down structure going from the most general level to the most detailed level, showing the usefulness of the proposed approach in environmental applications.

A Knowledge-Based Web Information System for the Fusion of Distributed Classifers

2004 ◽  
pp. 268-304 ◽  
Author(s):  
Grigorios Tsoumakas ◽  
Nick Bassiliades ◽  
Ioannis Vlahavas
Keyword(s):  
Information System ◽  
Distributed Databases ◽  
Semantic Heterogeneity ◽  
Knowledge Based ◽  
Classifier Selection ◽  
Web Information System ◽  
Web Information ◽  
Geographically Distributed ◽  
Fusion Of Classifiers ◽  
The Web

This chapter presents the design and development of WebDisC, a knowledge-based web information system for the fusion of classifiers induced at geographically distributed databases. The main features of our system are: (i) a declarative rule language for classifier selection that allows the combination of syntactically heterogeneous distributed classifiers; (ii) a variety of standard methods for fusing the output of distributed classifiers; (iii) a new approach for clustering classifiers in order to deal with the semantic heterogeneity of distributed classifiers, detect their interesting similarities and differences, and enhance their fusion; and (iv) an architecture based on the Web services paradigm that utilizes the open and scalable standards of XML and SOAP.

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