Advanced Query ProcessingAdvanced Query Processing



This research book presents key developments, directions, and challenges concerning advanced query processing for both traditional and non-traditional data.

Author: Barbara Catania

Publisher: Springer Science & Business Media

ISBN: 9783642283239

Category:

Page: 350

View: 556

This research book presents key developments, directions, and challenges concerning advanced query processing for both traditional and non-traditional data. A special emphasis is devoted to approximation and adaptivity issues as well as to the integration of heterogeneous data sources. The book will prove useful as a reference book for senior undergraduate or graduate courses on advanced data management issues, which have a special focus on query processing and data integration. It is aimed for technologists, managers, and developers who want to know more about emerging trends in advanced query processing.

Peer to Peer Query Processing over Multidimensional DataPeer to Peer Query Processing over Multidimensional Data



Applications that require a high degree of distribution and loosely-coupled connectivity are ubiquitous in various domains, including scientific databases, bioinformatics, and multimedia retrieval.

Author: Akrivi Vlachou

Publisher: Springer Science & Business Media

ISBN: 9781461421108

Category:

Page: 84

View: 636

Applications that require a high degree of distribution and loosely-coupled connectivity are ubiquitous in various domains, including scientific databases, bioinformatics, and multimedia retrieval. In all these applications, data is typically voluminous and multidimensional, and support for advanced query operators is required for effective querying and efficient processing. To address this challenge, we adopt a hybrid P2P architecture and propose novel indexing and query processing algorithms. We present a scalable framework that relies on data summaries that are distributed and maintained as multidimensional routing indices. Different types of data summaries enable efficient processing of a variety of advanced query operators.

Query Processing for Advanced Database SystemsQuery Processing for Advanced Database Systems



The chapters of this book provide an excellent snapshot of current research and development activities in the area of query processing and optimization.

Author: Johann Christoph Freytag

Publisher: Morgan Kaufmann Publishers

ISBN: 1493303538

Category:

Page: 512

View: 767

The chapters of this book provide an excellent snapshot of current research and development activities in the area of query processing and optimization. They supply potential answers to many questions that have been raised for new types of database systems and at the same time reflect the variety of the different approaches taken. The book acts both as a reference for the state of the art in query processing for the "next generation" of database systems, and as a good starting point for anybody interested in understanding the challenging questions in the area. Furthermore, the book will help the reader to gain an in-depth understanding of why efficient query processing is needed for future database systems.

Reasoning Web Semantic Technologies for Advanced Query AnsweringReasoning Web Semantic Technologies for Advanced Query Answering



q u e r y e x c . t im e ( m s ) - l o g s c a le Number of triples from DBLP Q1 10k 100k 1M 2M 10M a v g . ... CQELS is currently the only system applying the optimisation techniques [12,40] of the adaptive query processing.

Author: Thomas Eiter

Publisher: Springer

ISBN: 9783642331589

Category:

Page: 387

View: 952

This volume contains the lecture notes of the 8th Reasoning Web Summer School 2012, held in Vienna, Austria, in September 2012, in the form of worked out tutorial papers on the various topics that have been covered in that school. The 2012 summer school program had been put together under the general leitmotif of advanced query answering topics for the Web. The idea was to address on the one hand foundations and computational aspects of query answering, in formalisms, methods and technology, and on the other hand to also spotlight some rising or emerging application fields relating to the Semantic Web in which query answering plays a role, and which by their nature also pose new challenges and problems for this task; linked stream processing, geospatial data, semantic wikis, and argumentation on the web fall in this category.

Query Processing over Incomplete DatabasesQuery Processing over Incomplete Databases



Query processing is a fundamental problem in computer science, and is useful in a variety of applications. ... of these queries, the backgroundanddefinitions are described,as wellas some advancedquery processing techniques.

Author: Yunjun Gao

Publisher: Morgan & Claypool Publishers

ISBN: 9781681734217

Category:

Page: 122

View: 263

Incomplete data is part of life and almost all areas of scientific studies. Users tend to skip certain fields when they fill out online forms; participants choose to ignore sensitive questions on surveys; sensors fail, resulting in the loss of certain readings; publicly viewable satellite map services have missing data in many mobile applications; and in privacy-preserving applications, the data is incomplete deliberately in order to preserve the sensitivity of some attribute values. Query processing is a fundamental problem in computer science, and is useful in a variety of applications. In this book, we mostly focus on the query processing over incomplete databases, which involves finding a set of qualified objects from a specified incomplete dataset in order to support a wide spectrum of real-life applications. We first elaborate the three general kinds of methods of handling incomplete data, including (i) discarding the data with missing values, (ii) imputation for the missing values, and (iii) just depending on the observed data values. For the third method type, we introduce the semantics of k-nearest neighbor (kNN) search, skyline query, and top-k dominating query on incomplete data, respectively. In terms of the three representative queries over incomplete data, we investigate some advanced techniques to process incomplete data queries, including indexing, pruning as well as crowdsourcing techniques.

Handbook of Research on Innovative Database Query Processing TechniquesHandbook of Research on Innovative Database Query Processing Techniques



It main purpose is to make diagrammatic query more understandable, readable in future by commenting the query. Second element's purpose is to allow advanced users combine graphical elements with advanced textual SPARQL expressions.

Author: Yan, Li

Publisher: IGI Global

ISBN: 9781466687684

Category:

Page: 626

View: 498

Research and development surrounding the use of data queries is receiving increased attention from computer scientists and data specialists alike. Through the use of query technology, large volumes of data in databases can be retrieved, and information systems built based on databases can support problem solving and decision making across industries. The Handbook of Research on Innovative Database Query Processing Techniques focuses on the growing topic of database query processing methods, technologies, and applications. Aimed at providing an all-inclusive reference source of technologies and practices in advanced database query systems, this book investigates various techniques, including database and XML queries, spatiotemporal data queries, big data queries, metadata queries, and applications of database query systems. This comprehensive handbook is a necessary resource for students, IT professionals, data analysts, and academicians interested in uncovering the latest methods for using queries as a means to extract information from databases. This all-inclusive handbook includes the latest research on topics pertaining to information retrieval, data extraction, data management, design and development of database queries, and database and XM queries.

Principles of Database Query Processing for Advanced ApplicationsPrinciples of Database Query Processing for Advanced Applications



Advanced Query Processing in Object Bases Using Access Support Relations . International Conference on Very Large Data Bases , Brisbane , Australia , August 1990 , pp . 290–301 . [ 199 ] A. Kemper , and G. Moerkotte .

Author: Clement T. Yu

Publisher: Morgan Kaufmann

ISBN: UOM:39015043818502

Category:

Page: 485

View: 243

A thorough presentation of query processing techniques in a broad range of database systems for advanced applications. Provides the most effective query processing techniques and ways to optimize the information retrieval process. Intended for database systems designers creating advanced applications.

Query Processing over Uncertain DatabasesQuery Processing over Uncertain Databases



In this book, we start from the data models for imprecise and uncertain data, move on to defining different semantics for queries on uncertain data, and finally discuss the advanced query processing techniques for various probabilistic ...

Author: Lei Chen

Publisher: Morgan & Claypool Publishers

ISBN: 9781608458936

Category:

Page: 101

View: 715

Due to measurement errors, transmission lost, or injected noise for privacy protection, uncertainty exists in the data of many real applications. However, query processing techniques for deterministic data cannot be directly applied to uncertain data because they do not have mechanisms to handle data uncertainty. Therefore, efficient and effective manipulation of uncertain data is a practical yet challenging research topic. In this book, we start from the data models for imprecise and uncertain data, move on to defining different semantics for queries on uncertain data, and finally discuss the advanced query processing techniques for various probabilistic queries in uncertain databases. The book serves as a comprehensive guideline for query processing over uncertain databases. Table of Contents: Introduction / Uncertain Data Models / Spatial Query Semantics over Uncertain Data Models / Spatial Query Processing over Uncertain Databases / Conclusion

Query Processing over Graph structured Data on the WebQuery Processing over Graph structured Data on the Web



In the context of data management, hybrid human-machine approaches have been also used to design advanced query processing systems [65, 114, 125]. Mainly, these approaches focus on how to manually specify those parts of the query that ...

Author: M. Acosta Deibe

Publisher: IOS Press

ISBN: 9781614999164

Category:

Page: 242

View: 703

In the last years, Linked Data initiatives have encouraged the publication of large graph-structured datasets using the Resource Description Framework (RDF). Due to the constant growth of RDF data on the web, more flexible data management infrastructures must be able to efficiently and effectively exploit the vast amount of knowledge accessible on the web. This book presents flexible query processing strategies over RDF graphs on the web using the SPARQL query language. In this work, we show how query engines can change plans on-the-fly with adaptive techniques to cope with unpredictable conditions and to reduce execution time. Furthermore, this work investigates the application of crowdsourcing in query processing, where engines are able to contact humans to enhance the quality of query answers. The theoretical and empirical results presented in this book indicate that flexible techniques allow for querying RDF data sources efficiently and effectively.

Database Systems for Advanced ApplicationsDatabase Systems for Advanced Applications



Considerable research efforts have been devoted to developing advanced query processing techniques on graph databases. This tutorial presents a comprehensive survey on methodologies and techniques for querying large graph databases, ...

Author: Hiroyuki Kitagawa

Publisher: Springer

ISBN: 9783642120985

Category:

Page: 485

View: 738

This two volume set LNCS 5981 and LNCS 5982 constitutes the refereed proceedings of the 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, held in Tsukuba, Japan, in April 2010. The 39 revised full papers and 16 revised short papers presented together with 3 invited keynote papers, 22 demonstration papers, 6 industrial papers, and 2 keynote talks were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in topical sections on P2P-based technologies, data mining technologies, XML search and matching, graphs, spatial databases, XML technologies, time series and streams, advanced data mining, query processing, Web, sensor networks and communications, information management, as well as communities and Web graphs. The second volume contains contributions related to trajectories and moving objects, skyline queries, privacy and security, data streams, similarity search and event processing, storage and advanced topics, industrial, demo papers, and tutorials and panels.

Current Trends in Database Technology EDBT 2004 WorkshopsCurrent Trends in Database Technology EDBT 2004 Workshops



Advanced Query Processing and Optimization Continuous Query Processing in Spatio-Temporal Databases Mohamed F. Mokbel 100 Load Distribution for Distributed Stream Processing YingXing 112 XML Query Processing and Optimization Ning Zhang ...

Author: Wolfgang Lindner

Publisher: Springer Science & Business Media

ISBN: 9783540233053

Category:

Page: 608

View: 507

This book constitutes the thoroughly refereed joint post-proceedings of five workshops held as part of the 9th International Conference on Extending Database Technology, EDBT 2004, held in Heraklion, Crete, Greece, in March 2004. The 55 revised full papers presented together with 2 invited papers and the summaries of 2 panels were selected from numerous submissions during two rounds of reviewing and revision. In accordance with the topical focus of the respective workshops, the papers are organized in sections on database technology in general (PhD Workshop), database technologies for handling XML information on the Web, pervasive information management, peer-to-peer computing and databases, and clustering information over the Web.