Semantic Analysis of XML Schema Matching for B2B...
PhD Dissertation Defense Announcement
A Semantic Analysis of XML Schema Matching
for B2B Systems Integration
Jaewook Kim
11:00am Thursday, 21 April 2011, ITE 346
One of the most critical steps to integrating heterogeneous e-Business applications using different XML schemas is schema matching, which is known to be costly and error-prone. Many automatic schema matching approaches have been proposed, but the challenge is still daunting because of the complexity of schemas and immaturity of technologies in semantic representation, measuring, and reasoning. The dissertation focuses on three challenging problems in the schema matching. First, the existing approaches have often failed to sufficiently investigate and utilize semantic information imbedded in the hierarchical structure of the XML schemas. Secondly, due to synonyms and polysemies found in natural languages, the meaning of a data node in the schema cannot be determined solely by the words in its label. Thirdly, it is difficult to correctly identify the best set of matching pairs for all data nodes between two schemas. To overcome these problems, we propose new innovative approaches for XML schema matching, particularly applicable to XML schema integration and data transformation between heterogeneous e-Business systems. Our research supports two different tasks: integration task between two different component schemas; and transformation task between two business documents which confirm to different document schemas.
Dissertation Committee:
- Dr. Yun Peng, Chair
- Dr. Charles Nicholas
- Dr. Zary Segall
- Dr. Milton Halem
- Dr. Hyunbo Cho (POSTECH, Korea)
- Dr. Nenad Ivezic (NIST)
Posted: April 18, 2011, 2:33 PM