Advances in databases and information systems

Viac o knihe

This collection of invited papers explores various advancements in data management and database technologies. It discusses transforming networks into databases, personalizing data management, and scalable similarity searches. The integration of XML databases with the Semantic Web is examined, along with an XML algebra for XQuery and the refinement of XPath queries based on XML schema definitions. Notable topics include X-Warehousing for complex data and semantic querying across distributed data sources. The maintenance and creation of materialized views are addressed, focusing on multi-source views and clustering-based selection methods. Database modeling techniques are presented, including relationship design through spreadsheet reasoning and context-aware preferences. The implementation of a deductive object-oriented database system is also highlighted. In the realm of web information systems, strategies for optimizing hidden web access and middleware approaches to database caching are discussed. The papers delve into query processing and indexing techniques, such as efficient processing of SAPE queries, new indexing methods for continuous time sequences, and multi-nearest neighbor query processing in spatial databases. Data mining and clustering topics include automatic density-based clustering calculations and symbolic music genre classification. The collection concludes with discussions on merging and querying inconsis