Stanford InfoLab Publication Server

Abstraction of Representation for Interoperation

Maluf, D. and Wiederhold, G. (1997) Abstraction of Representation for Interoperation. Technical Report. Stanford InfoLab.




When combining data from distinct sources, there is a need to share meta-data and other knowledge about various source domains. Due to semantic inconsistencies, problems arise when combining knowledge across domains and the knowledge is simply merged. Also, knowledge that is irrelevant to the task of interoperation will be included, making the result unnecessarily complex. An algebra over ontologies has been proposed to support disciplined manipulation of domain knowledge resources. However, if one tries to interoperate directly with the knowledge bases, semantic problems arise due to heterogeneity of representations. This heterogeneity problem can be eliminated by using an intermediate model that controls the knowledge translation from a source knowledge base. The intermediate model we have developed is based on the concept of abstract knowledge representation and has two components: a modeling behavior which separates the knowledge from its implementation, and a performative behavior which establishes context abstraction rules over the knowledge

Item Type:Techreport (Technical Report)
Uncontrolled Keywords:Ontology Algebra, Context Formulation, Partitioning
Subjects:Computer Science > Data Integration and Mediation
Related URLs:Project Homepage
ID Code:274
Deposited By:Import Account
Deposited On:25 Feb 2000 16:00
Last Modified:04 Jan 2009 11:36

Download statistics

Repository Staff Only: item control page