Semantic Enterprise Integration Analysis





Paper Type

Master's Thesis


College of Computing, Engineering & Construction

Degree Name

Master of Science in Computer and Information Sciences (MS)



First Advisor

Dr. Behrooz Seyed-Abbassi

Second Advisor

Dr. Roger Eggen

Third Advisor

Dr. Roger Roggio

Department Chair

Dr. Judith L. Solano

College Dean

Dr. Peter A. Braza


The ever growing amount of digital information that must be integrated between two merging businesses drives the need for more efficient enterprise systems integration. While a significant amount of research exists that deals with the physical integration of the entities within an enterprise, little-to-no research exists that analyzes the degree to which two enterprises are compatible before the integration process begins. This thesis expands upon the area of enterprise systems integration using semantic analysis by providing a methodology for system integration analysis. The goal is to provide a preliminary analytical interface to aid business and/or software analysts in making determinations concerning the degree of compatibility between two systems before the integration process formally begins. The methodology described in this thesis details a process by which documents that contain information about enterprises are consolidated into a robust common schema and subsequently used to estimate the overall effort needed to integrate them. A sample implementation is provided and tested to demonstrate the accuracy and usefulness of the methodology, which also provides a good starting point for the actual integration task itself.

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