The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.This, the 59th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four fully revised and extended papers selected from the 40th conference on Data Management - Principles, Technologies and Applications, BDA 2024. The topics cover a wide range of timely data management research topics on graph optimization for information exposure, sequence similarity search, multi-model systems, and data privacy.

Transactions on Large-Scale Data- and Knowledge-Centered Systems LIX

书籍
发表日期：

2026年

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摘要

The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.

This, the 59th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four fully revised and extended papers selected from the 40th conference on Data Management - Principles, Technologies and Applications, BDA 2024. The topics cover a wide range of timely data management research topics on graph optimization for information exposure, sequence similarity search, multi-model systems, and data privacy.