Inferring structure in semistructured data
ACM SIGMOD Record
Extracting structured data from Web pages
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Differences between versions of UML diagrams
Proceedings of the 9th European software engineering conference held jointly with 11th ACM SIGSOFT international symposium on Foundations of software engineering
Automatic information extraction from large websites
Journal of the ACM (JACM)
MAPO: mining API usages from open source repositories
Proceedings of the 2006 international workshop on Mining software repositories
A Survey of Web Information Extraction Systems
IEEE Transactions on Knowledge and Data Engineering
Metamodel-Based Inference of Inter-Model Correspondence
CSMR '07 Proceedings of the 11th European Conference on Software Maintenance and Reengineering
Difference computation of large models
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Different models for model matching: An analysis of approaches to support model differencing
CVSM '09 Proceedings of the 2009 ICSE Workshop on Comparison and Versioning of Software Models
Learning from examples to improve code completion systems
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
Refactoring legacy AJAX applications to improve the efficiency of the data exchange component
Journal of Systems and Software
Towards discovering conceptual models behind web sites
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Automated API Property Inference Techniques
IEEE Transactions on Software Engineering
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JSON has become a very popular lightweigth format for data exchange. JSON is human readable and easy for computers to parse and use. However, JSON is schemaless. Though this brings some benefits (e.g., flexibility in the representation of the data) it can become a problem when consuming and integrating data from different JSON services since developers need to be aware of the structure of the schemaless data. We believe that a mechanism to discover (and visualize) the implicit schema of the JSON data would largely facilitate the creation and usage of JSON services. For instance, this would help developers to understand the links between a set of services belonging to the same domain or API. In this sense, we propose a model-based approach to generate the underlying schema of a set of JSON documents.