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gray alexander (curatore); jeffery keith g. (curatore); shao jianhua (curatore) - sharing data, information and knowledge

Sharing Data, Information and Knowledge 25th British National Conference on Databases, BNCOD 25, Cardiff, UK, July 7-10, 2008, Proceedings

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Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 06/2008
Edizione: 2008





Trama

Since 1981, the British National Conferences on Databases (BNCOD) have p- vided a forum for database researchers to report the latest progress and explore new ideas. Over the last 28 years, BNCOD has evolved from a predominantly national conference into one that is truly international, attracting research c- tributions from all over the world. This volume contains the proceedings of BNCOD 2008. We received 45 s- missions from 22 countries. Each paper was reviewed by three referees, and 14 full papers and 7 posters were accepted. All the research papers and posters are included in this volume, and they are organized into ?ve sections: data mining and privacy, data integration, stream and event data processing, query proce- ing and optimization, and posters. The keynote was delivered by Monica Marinucci, EMEA Programme Dir- tor for Oracle in R&D. She has been involved in various advanced developments concerning Oracle, and participated in EC-funded projects as an expert, es- cially the CHALLENGERS special support action to propose the future of grid computing. In her keynote presentation,she addressedthe audience on the topic of the power of data, emphasizing that the ability to store, handle, manipulate, distribute and replicate data and information can provide a tremendous asset to organizations. She also explored some of the latest directions and developments in the database ?eld, and described how Oracle contributes to them partnering up with other leading organizations in di?erent sectors.




Sommario

Keynote.- The Power of Data.- Data Mining and Privacy.- Efficient Mining of Frequent Itemsets from Data Streams.- An Empirical Study of Utility Measures for k-Anonymisation.- HLS: Tunable Mining of Approximate Functional Dependencies.- Sentence Ordering for Coherent Multi-document Summary Generation.- Data Integration.- Schema Matching across Query Interfaces on the Deep Web.- A Generic Data Level Implementation of ModelGen.- Reconciling Inconsistent Data in Probabilistic XML Data Integration.- Stream and Event Data Processing.- A Semantics for a Query Language over Sensors, Streams and Relations.- Load Shedding in MavStream: Analysis, Implementation, and Evaluation.- Event-Driven Database Information Sharing.- Query Processing and Optimisation.- Smooth Interpolating Histograms with Error Guarantees.- Virtual Forced Splitting, Demotion and the BV-Tree.- A Functional Data Model Approach to Querying RDF/RDFS Data.- Ranking for Approximated XQuery Full-Text Queries.- Poster Papers.- Role Based Access to Support Collaboration in Healthcare.- A Peer-to-Peer Database Server.- Checking the Integrity Constraints of Mobile Databases with Three-Level Model.- Finding Data Resources in a Virtual Observatory Using SKOS Vocabularies.- Progressive Ranking for Efficient Keyword Search over Relational Databases.- Semantic Matching for the Medical Domain.- Towards the Automatic Generation of Analytical End-User Tools Metadata for Data Warehouses.- 25th Anniversary Colloquium on Advances in Database Research.- The Hyperdatabase Project – From the Vision to Realizations.- From Schema and Model Translation to a Model Management System.- XtreemOS: Towards a Grid-Enabled Linux-Based Operating System.- High-Assurance Integrity Techniques for Databases.- Towards General Temporal Aggregation.- Best Papers from the Workshop on Biodiversity Informatics: Challenges in Modelling and Managing Biodiversity Knowledge.- Distributed Systems and Automated Biodiversity Informatics: Genomic Analysis and Geographic Visualization of Disease Evolution.- Visualisation to Aid Biodiversity Studies through Accurate Taxonomic Reconciliation.










Altre Informazioni

ISBN:

9783540705031

Condizione: Nuovo
Collana: Lecture Notes in Computer Science
Dimensioni: 235 x 155 mm Ø 480 gr
Formato: Brossura
Illustration Notes:XI, 296 p.
Pagine Arabe: 296
Pagine Romane: xi


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