Interoperability Maturity Models – Survey and Comparison

Interoperability Maturity Models – Survey and Comparison –

Published:2008 Issue: Volume: Page:273-282
ISSN:0302-9743
Container-title:On the Move to Meaningful Internet Systems: OTM 2008 Workshops
language:
Short-container-title:

Author:

Guédria Wided,Naudet Yannick,Chen David

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-88875-8_48

Reference15 articles.

1. Thomas, C., Ford, J.M., Colombi, S.R., Graham, D.R.: A Survey on Interoperability Measurement. In: 12th ICCRTS, Rhode Island (2007)

2. IEEE Standards Information Network. IEEE 100, The Authoritative Dictionary of IEEE Standards Terms, 7th edn. IEEE, New York (2000)

3. Naudet, Y., Latour, T., Chen, D.: A systemic approach to interoperability formalization. In: IFAC WC 2008, invited session on Semantic-Based Solutions for Enterprise Integration and Networking, Seoul, Korea (July 2008)

4. Panetto, H.: Towards a classification framework for interoperability of enterprise applications. International journal of Computer Integrated Manufacturing 20(8), 727–740 (2007)

5. International Organization for Standardization and International Electrotechnical Commission, ISO/IEC 15504 Software Process Improvement and Capability DEtermination Model (SPICE) (2001)

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development and Evaluation of a Maturity Model for AI Deployment Capability of Manufacturing Companies;Information Systems Management;2024-02-29

2. Methodology for Measuring and Improving Inter-Organizational Interoperability;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16

3. System of System Strategy for Multi-Level Interoperability for Smart Cities;2023 IEEE International Smart Cities Conference (ISC2);2023-09-24

4. Improving interoperability by business process analysis;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19

5. Machine Learning-Based Automatic Litter Detection and Classification Using Neural Networks in Smart Cities;International Journal on Semantic Web and Information Systems;2023-06-09