Data Management. Data, Data Everywhere

This book features the refereed proceedings from the 24th British National Conference on Databases, held in Glasgow, Scotland in July 2007. The eighteen full papers and seven poster papers are presented, together with two invited contributions. Papers are organized into topical sections covering data applications, searching XML documents, querying XML documents, XML transformation, clustering and security, data mining, and extraction.

Inhalt

Invited Papers.- Design Abstractions for Innovative Web Applications.- Automation Everywhere: Autonomics and Data Management.- Data Applications.- Exhaustive Peptide Searching Using Relations.- Data Lineage Tracing in Data Warehousing Environments.- Fast Recognition of Asian Characters Based on Database Methodologies.- SPDBSW: A Service Prototype of SPDBS on the Web.- Searching XML Documents.- Indexing and Searching XML Documents Based on Content and Structure Synopses.- PosFilter: An Efficient Filtering Technique of XML Documents Based on Postfix Sharing.- OOXSearch: A Search Engine for Answering Loosely Structured XML Queries Using OO Programming.- Querying XML Documents.- Evaluating XPath Queries on XML Data Streams.- PSMQ: Path Based Storage and Metadata Guided Twig Query Evaluation.- Parameterized XPath Views.- XML Transformation.- Specifying and Optimising XML Views.- Isolating Order Semantics in Order-Sensitive XQuery-to-SQL Translation.- Poster Papers.- Representation and Management of Evolving Features in OS MasterMap ITN Data.- Hopfilter: An Agent for Filtering Web Pages Based on the Hopfield Artificial Neural Network Model.- A New Approach to Connecting Information Systems in Healthcare.- XML Query Result Size Estimation for Small Bandwidth Devices.- An Efficient Sheet Partition Technique for Very Large Relational Tables in OLAP.- A Method of Improving the Efficiency of Mining Sub-structures in Molecular Structure Databases.- XFLab: A Technique of Query Processing over XML Fragment Stream.- Clustering and Security.- Knowledge Discovery from Semantically Heterogeneous Aggregate Databases Using Model-Based Clustering.- Speeding Up Clustering-Based k-Anonymisation Algorithms with Pre-partitioning.- Fine-Grained Access Control for Database Management Systems.- Data Mining and Extraction.- Extracting Temporal Information from Short Messages.- Max-FTP: Mining Maximal Fault-Tolerant Frequent Patterns from Databases.- A New Approach for Distributed Density Based Clustering on Grid Platform.