Authors:
Kajal Claypool
1
;
Jeremy Mineweaser
1
;
Dan Van Hook
1
;
Michael Scarito
1
and
Elke Rundensteiner
2
Affiliations:
1
Massachussetts Institute of Technology/Lincoln Laboratory, United States
;
2
Worcester Polytechnic Institute, United States
Keyword(s):
Data integration social bookmarking pay-as-you-go web-integration.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Data Engineering
;
Databases and Information Systems Integration
;
e-Business
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Middleware Integration
;
Middleware Platforms
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Technology Platforms
;
Web Databases
;
Web Information Systems and Technologies
Abstract:
In this paper, we take the position that a flexible and agile integration infrastructure that harmoniously and transparently oscillates between and supports different levels of integration – loose or partial integration on one end of the spectrum and tight or full integration on the other end of the spectrum – is essential for achieving large Web scale integration. Furthermore, domain knowledge provided by users/domain experts is essential for improving the quality of integration between resources. We posit Web 2.0 or “social Web” technologies, can be brought to bear to facilitate implicit user-driven, web-scale integration at different levels. In this paper, we present ESpace, a prototype for a pay-as-you-go integration framework that supports loosely to tightly integrated resources within the same infrastructure, where loose integration is supported in the sense of pulling resources on the web together, based on the tag meta-information associated with them, and tight integration i
s a representation of classic schema-matching based integration techniques. This is but the first step in enabling web-scale pay-as-you-go integration by providing fine-grained analysis and integrating substructures within resources – achieving tighter integration for select resources on the user’s behest.
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