Abstract

http://ssrn.com/abstract=612466
 
 

References (15)



 
 

Citations (10)



 


 



Context Interchange as a Scalable Solution to Interoperating Amongst Heterogeneous Dynamic Services


Hongwei (Harry) Zhu


University of Massachusetts Lowell; Massachusetts Institute of Technology (MIT); Old Dominion University

Stuart Madnick


Massachusetts Institute of Technology (MIT) - Sloan School of Management

October 2004

MIT Sloan Working Paper No. 4514-04; CISL Working Paper No. 2004-16

Abstract:     
Many online services access a large number of autonomous data sources and at the same time need to meet different user requirements. It is essential for these services to achieve semantic interoperability among these information exchange entities. In the presence of an increasing number of proprietary business processes, heterogeneous data standards, and diverse user requirements, it is critical that the services are implemented using adaptable, extensible, and scalable technology. The Context Interchange (COIN) approach, inspired by similar goals of the Semantic Web, provides a robust solution. In this paper, we describe how COIN can be used to implement dynamic online services where semantic differences are reconciled on the fly. We show that COIN is flexible and scalable by comparing it with several conventional approaches. With a given ontology, the number of conversions in COIN is quadratic to the semantic aspect that has the largest number of distinctions. These semantic aspects are modeled as modifiers in a conceptual ontology; in most cases the number of conversions is linear with the number of modifiers, which is significantly smaller than traditional hard-wiring middleware approach where the number of conversion programs is quadratic to the number of sources and data receivers. In the example scenario in the paper, the COIN approach needs only 5 conversions to be defined while traditional approaches require 20,000 to 100 million. COIN achieves this scalability by automatically composing all the comprehensive conversions from a small number of declaratively defined sub-conversions.

Number of Pages in PDF File: 14

Keywords: ontology, semantics, scalability, data integration, heterogeneous sources

working papers series


Download This Paper

Date posted: October 29, 2004  

Suggested Citation

Zhu, Hongwei (Harry) and Madnick, Stuart, Context Interchange as a Scalable Solution to Interoperating Amongst Heterogeneous Dynamic Services (October 2004). MIT Sloan Working Paper No. 4514-04; CISL Working Paper No. 2004-16. Available at SSRN: http://ssrn.com/abstract=612466 or http://dx.doi.org/10.2139/ssrn.612466

Contact Information

Hongwei Zhu
University of Massachusetts Lowell ( email )
United States
Massachusetts Institute of Technology (MIT) ( email )
Cambridge, MA 02139
United States
HOME PAGE: http://web.mit.edu/~mrzhu
Old Dominion University ( email )
Norfolk, VA 23529
United States
757-683-5175 (Phone)
HOME PAGE: http://www.odu.edu/~hzhu
Stuart E. Madnick (Contact Author)
Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )
E53-321
Cambridge, MA 02142
United States
617-253-6671 (Phone)
617-253-3321 (Fax)
Feedback to SSRN


Paper statistics
Abstract Views: 1,199
Downloads: 91
Download Rank: 160,987
References:  15
Citations:  10

© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo8 in 0.312 seconds