Query Processing Over Graph Structured Data On The Web
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Query Processing Over Graph Structured Data On The Web
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Author : M. Acosta Deibe
language : en
Publisher: IOS Press
Release Date : 2018-10-12
Query Processing Over Graph Structured Data On The Web written by M. Acosta Deibe and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-12 with Computers categories.
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.
Query Processing Over Graph Structured Data On The Web
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Author : Maribel Acosta Deibe
language : en
Publisher:
Release Date : 2018
Query Processing Over Graph Structured Data On The Web written by Maribel Acosta Deibe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Efficient Optimization And Processing Of Queries Over Text Rich Graph Structured Data
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Author : Günter Ladwig
language : en
Publisher: KIT Scientific Publishing
Release Date : 2014-05-13
Efficient Optimization And Processing Of Queries Over Text Rich Graph Structured Data written by Günter Ladwig and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-13 with Electronic computers. Computer science categories.
Many databases today capture both, structured and unstructured data. Making use of such hybrid data has become an important topic in research and industry. The efficient evaluation of hybrid data queries is the main topic of this thesis. Novel techniques are proposed that improve the whole processing pipeline, from indexes and query optimization to run-time processing. The contributions are evaluated in extensive experiments showing that the proposed techniques improve upon the state of the art.
Decentralized Query Processing Over Heterogeneous Sources Of Knowledge Graphs
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Author : L. Heling
language : en
Publisher: IOS Press
Release Date : 2022-03-08
Decentralized Query Processing Over Heterogeneous Sources Of Knowledge Graphs written by L. Heling and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-08 with Computers categories.
Knowledge graphs are increasingly used in scientific and industrial applications. The large number and size of knowledge graphs published as Linked Data in autonomous sources has led to the development of various interfaces to query these knowledge graphs. Therefore, effective query processing approaches that enable efficient information retrieval from these knowledge graphs need to address the capabilities and limitations of different Linked Data Fragment interfaces. This book investigates novel approaches to addressing the challenges that arise in the presence of decentralized, heterogeneous sources of knowledge graphs. The effectiveness of these approaches is empirically evaluated and demonstrated using various real world and synthetic large-scale knowledge graphs throughout. First, a sample-based approach for generating fine-grained performance profiles is proposed, and it is demonstrated how the information from such profiles can be leveraged in cost model-based query planning. In addition, a sample-based data distribution profiling approach is advocated which aims to estimate the statistical profile features of large knowledge graphs and the applicability of these estimations in federated querying processing is demonstrated. The remainder of the book focuses on techniques to devise efficient query processing approaches when heterogeneous interfaces need to be queried but no fine-grained statistics are available. Robust techniques to support efficient query processing in these circumstances are investigated and results are shared to demonstrate the way in which these techniques can outperform state-of-the-art approaches. Finally, the author describes a framework for federated query processing over heterogeneous federations of Linked Data Fragments to exploit the capabilities of different sources by defining interface-aware approaches.
Querying Graphs
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Author : Angela Bonifati
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2018-10-01
Querying Graphs written by Angela Bonifati and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-01 with Computers categories.
Graph data modeling and querying arises in many practical application domains such as social and biological networks where the primary focus is on concepts and their relationships and the rich patterns in these complex webs of interconnectivity. In this book, we present a concise unified view on the basic challenges which arise over the complete life cycle of formulating and processing queries on graph databases. To that purpose, we present all major concepts relevant to this life cycle, formulated in terms of a common and unifying ground: the property graph data model—the pre-dominant data model adopted by modern graph database systems. We aim especially to give a coherent and in-depth perspective on current graph querying and an outlook for future developments. Our presentation is self-contained, covering the relevant topics from: graph data models, graph query languages and graph query specification, graph constraints, and graph query processing. We conclude by indicating major open research challenges towards the next generation of graph data management systems.
The Semantic Web
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Author : Karl Aberer
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-27
The Semantic Web written by Karl Aberer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-27 with Computers categories.
This book constitutes the refereed proceedings of the joined 6th International Semantic Web Conference, ISWC 2007, and the 2nd Asian Semantic Web Conference, ASWC 2007. The papers address all current issues in the field of the semantic Web, ranging from theoretical and foundational aspects to various applied topics such as management of semantic Web data, ontologies, semantic Web architecture, social semantic Web, as well as applications of the semantic Web.
Process Oriented Semantic Web Search
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Author : D.T. Tran
language : en
Publisher: IOS Press
Release Date : 2011-02-22
Process Oriented Semantic Web Search written by D.T. Tran and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-22 with Computers categories.
The book is composed of two main parts. The first part is a general study of Semantic Web Search. The second part specifically focuses on the use of semantics throughout the search process, compiling a big picture of Process-oriented Semantic Web Search from different pieces of work that target specific aspects of the process. In particular, this book provides a rigorous account of the concepts and technologies proposed for searching resources and semantic data on the Semantic Web. To collate the various approaches and to better understand what the notion of Semantic Web Search entails, this book presents a general Semantic Web Search model. With respect to this model, the book provides a comprehensive discussion of the state-of-the-art. It elaborates on approaches for crawling, managing and searching Semantic Web resources as well as the various schemes proposed for ranking search results. Besides these specific approaches, search is also studied in a general multi-data-source scenario. This shall demonstrate how this work on search is extended and applied to the Web setting. A major feature of the book is that it considers search and the use of semantics for search also from a process point of view. Extending the general model, the book introduces the notion of Process-oriented Semantic Web Search, where semantics is exploited throughout the entire search process – from query construction to query processing up to result presentation and query refinement. Specific pieces of work targeting these individual steps of the process are combined to form a coherent and consistent picture of Process-oriented Semantic Web Search. In order to convey this general notion as well as the specific concepts and technologies developed for supporting the search process, this book presents a compilation of work called SemSearchPro and provides detailed descriptions on the underlying approaches.
Managing And Mining Graph Data
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Author : Charu C. Aggarwal
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-02-02
Managing And Mining Graph Data written by Charu C. Aggarwal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-02 with Computers categories.
Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by well known researchers in the field, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science and engineering.
Advances In Data And Web Management
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Author : Guozhu Dong
language : en
Publisher: Springer
Release Date : 2007-06-26
Advances In Data And Web Management written by Guozhu Dong and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-26 with Computers categories.
This book constitutes the refereed proceedings of the joint 9th Asia-Pacific Web Conference, APWeb 2007, and the 8th International Conference on Web-Age Information Management, WAIM 2007, held in Huang Shan, China, June 2007. Coverage includes data mining and knowledge discovery, P2P systems, sensor networks, spatial and temporal databases, Web mining, XML and semi-structured data, privacy and security, as well as data mining and data streams.
Advanced Standard Sql Dynamic Structured Data Modeling And Hierarchical Processing
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Author : Michael M. David
language : en
Publisher: Artech House
Release Date : 2013
Advanced Standard Sql Dynamic Structured Data Modeling And Hierarchical Processing written by Michael M. David and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.
Based on the Artech House classic ANSI SQL Data Modeling and Structure Processing, this expanded and updated book offers you an essential tool for utilizing the ANSI SQL outer join operation to perform simple or complex hierarchical data modeling and structure processing. The book provides you with a comprehensive review of the outer join operation, its powerful syntax and semantics, and new features and capabilities. This revised resource introduces several important new concepts such as relationship and hierarchical integration at the hierarchical processing level, multipath hierarchical automatic XML query processing, dynamic structured data processing using automatic metadata maintenance, and advanced data transformations. Featuring more than 230 illustrations, the book shows you how to tap the full power of data structure extraction technology that gathers data structure meta information naturally embedded in ANSI SQL specifications. You discover existing, but previously unknown, SQL capabilities for improving performance. The book explains how to perform multitable outer joins and combine relational structures with hierarchical structures. Moreover you learn how to establish a default database standard for hierarchical data modeling and structure processing.