The schemalessness, one of the major advantages of JSON representation format, comes
with high penalties in querying and operations by denying various critical functions such as …

The execution and analysis of processes is strongly influenced by sensor streams, eg,
temperature, that are measured in parallel to the process execution and stored in process …

JSON keyword search searches the current versions of documents in a collection. However,
JSON documents change over time due to edits. Some applications, such as data forensics …

Join operations are crucial in data analysis, but can suffer inefficiency with large datasets
and complex non-equality-based conditions. Optimized join algorithms have gained traction …

Given a query tree, the subtree similarity search problem is finding all subtrees in a
document tree that are similar to the query tree. The previous scan-based method extracts …

This book presents fundamental concepts and technologies to tackle interoperability
between information systems. It details interoperability at the data, service, and process …

Fuzzy joins are widely used in a variety of data analysis applications such as data
integration, data mining, and master data management. In the context of Big Data …

In this paper, we present an implementation of JSON-diff framework JYCM, extending the
existing framework by introducing the concept of" unordered" comparisons and allowing …

This chapter presents concepts and technologies for transforming exchange formats, ie,
XPath, XSLT, XML Schema, and RelaxNG, into each other and hence furthering the …

In this paper, we present two feedforward-aided designs for a Master's level course on
similarity search based on different teaching methods: In project-based learning, the …