M. David Allen
M. David Allen has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- Adriane Chapman
University of Southampton
2 shared publications - Len Seligman
The MITRE Corporation
2 shared publications - Andrew Sillers
The MITRE Corporation
1 shared publication Arnon Rosenthal
The MITRE Corporation 7515 Colshire Dr McLean 22102 VA
1 shared publication- Arnon Rosenthal
The MITRE Corporation
1 shared publication - Barbara Blaustein
The MITRE Corporation
1 shared publication
Latest Publications
- 29 January 2014
- Published by Springer Nature in Information Systems and e-Business Management
- Vol. 12 (4) , 495-515
Fit for purpose: engineering principles for selecting an appropriate type of data exchange standard
- 29 January 2014
- Published by Springer Nature in Information Systems and e-Business Management
- Vol. 12 (4) , 495-515
Fit for purpose: engineering principles for selecting an appropriate type of data exchange standard
- 7 December 2013
- Published by Springer Nature
- p. 171-188
Making Query Execution Over Encrypted Data Practical
- 7 December 2013
- Published by Springer Nature
- p. 171-188
Making Query Execution Over Encrypted Data Practical
- Open Access
The Role of Schema Matching in Large Enterprises
To date, the principal use case for schema matching research has been as a precursor for code generation, i.e., constructing mappings between schema elements with the end goal of data transfer. In this paper, we argue that schema matching plays valuable roles independent of mapping construction, especially as schemata grow to industrial scales. Specifically, in large enterprises human decision makers and planners are often the immediate consumer of information derived from schema matchers, instead of schema mapping tools. We list a set of real application areas illustrating this role for schema matching, and then present our experiences tackling a customer problem in one of these areas. We describe the matcher used, where the tool was effective, where it fell short, and our lessons learned about how well current schema matching technology is suited for use in large enterprises. Finally, we suggest a new agenda for schema matching research based on these experiences.
Open AccessThe Role of Schema Matching in Large Enterprises
To date, the principal use case for schema matching research has been as a precursor for code generation, i.e., constructing mappings between schema elements with the end goal of data transfer. In this paper, we argue that schema matching plays valuable roles independent of mapping construction, especially as schemata grow to industrial scales. Specifically, in large enterprises human decision makers and planners are often the immediate consumer of information derived from schema matchers, instead of schema mapping tools. We list a set of real application areas illustrating this role for schema matching, and then present our experiences tackling a customer problem in one of these areas. We describe the matcher used, where the tool was effective, where it fell short, and our lessons learned about how well current schema matching technology is suited for use in large enterprises. Finally, we suggest a new agenda for schema matching research based on these experiences.