Federated Query Processing for the Semantic Web

Federated Query Processing for the Semantic Web PDF Author: C. Buil-Aranda
Publisher: IOS Press
ISBN: 1614993505
Category : Computers
Languages : en
Pages : 200

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Book Description
During the last years, the amount of RDF data has increased exponentially over the Web, exposed via SPARQL endpoints. These SPARQL endpoints allow users to direct SPARQL queries to the RDF data. Federated SPARQL query processing allows to query several of these RDF databases as if they were a single one, integrating the results from all of them. This is a key concept in the Web of Data and it is also a hot topic in the community. Besides of that, the W3C SPARQL-WG has standardized it in the new Recommendation SPARQL 1.1._x000D_ This book provides a formalisation of the W3C proposed recommendation. This formalisation allows to identify existing errors and allows to correct them before the implementation phase or when the execution of these federated queries start. The book constitutes a valuable resource for any implementer since it also proposes solutions to the problems identified as well as proposing a set of SPARQL pattern reordering rules, which reduce the execution time of federated queries significantly._x000D_ Another strong point of this book is the research methodology followed. It states clearly the problems in the state of the art, next defines the research hypothesis for next providing a thoroughly analysis of the semantics of the SPARQL 1.1 specification. Once the theoretical part is concluded the book steps into the implementation part, describing clearly the implementation decisions for finally evaluating the overall system.

Federated Query Processing for the Semantic Web

Federated Query Processing for the Semantic Web PDF Author: C. Buil-Aranda
Publisher: IOS Press
ISBN: 1614993505
Category : Computers
Languages : en
Pages : 200

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Book Description
During the last years, the amount of RDF data has increased exponentially over the Web, exposed via SPARQL endpoints. These SPARQL endpoints allow users to direct SPARQL queries to the RDF data. Federated SPARQL query processing allows to query several of these RDF databases as if they were a single one, integrating the results from all of them. This is a key concept in the Web of Data and it is also a hot topic in the community. Besides of that, the W3C SPARQL-WG has standardized it in the new Recommendation SPARQL 1.1._x000D_ This book provides a formalisation of the W3C proposed recommendation. This formalisation allows to identify existing errors and allows to correct them before the implementation phase or when the execution of these federated queries start. The book constitutes a valuable resource for any implementer since it also proposes solutions to the problems identified as well as proposing a set of SPARQL pattern reordering rules, which reduce the execution time of federated queries significantly._x000D_ Another strong point of this book is the research methodology followed. It states clearly the problems in the state of the art, next defines the research hypothesis for next providing a thoroughly analysis of the semantics of the SPARQL 1.1 specification. Once the theoretical part is concluded the book steps into the implementation part, describing clearly the implementation decisions for finally evaluating the overall system.

Federated Query Processing for the Semantic Web

Federated Query Processing for the Semantic Web PDF Author: Carlos Buil-Aranda
Publisher:
ISBN: 9783898386890
Category : Federated serching
Languages : en
Pages : 185

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Book Description


Knowledge Graphs and Big Data Processing

Knowledge Graphs and Big Data Processing PDF Author: Valentina Janev
Publisher: Springer Nature
ISBN: 3030531996
Category : Computers
Languages : en
Pages : 212

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Book Description
This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

Process-oriented Semantic Web Search

Process-oriented Semantic Web Search PDF Author: D.T. Tran
Publisher: IOS Press
ISBN: 1614993440
Category : Computers
Languages : en
Pages : 243

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Book Description
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.

The Semantic Web -- ISWC 2011

The Semantic Web -- ISWC 2011 PDF Author: Lora Aroyo
Publisher: Springer Science & Business Media
ISBN: 3642250726
Category : Computers
Languages : en
Pages : 836

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Book Description
The two-volume set LNCS 7031 and LNCS 7032 constitutes the proceedings of the 10th International Semantic Web Conference, ISWC 2011, held in Bonn, Germany, in October 2011. Part I, LNCS 7031, contains 50 research papers which were carefully reviewed and selected from 264 submissions. The 17 semantic Web in-use track papers contained in part II, LNCS 7032, were selected from 75 submissions. This volume also contains 15 doctoral consortium papers, selected from 31 submissions. The topics covered are: ontologies and semantics; database, IR, and AI technologies for the semantic Web; management of semantic Web data; reasoning over semantic Web data; search, query, integration, and analysis on the semantic Web; robust and scalable knowledge management and reasoning on the Web; interacting with semantic Web data; ontology modularity, mapping, merging and alignment; languages, tools, and methodologies for representing and managing semantic Web data; ontology, methodology, evaluation, reuse, extraction and evolution; evaluation of semantic Web technologies or data; specific ontologies and ontology pattern for the semantic Web; new formalisms for semantic Web; user interfaces to the semantic Web; cleaning, assurance, and provenance of semantic Web data; services, and processes; social semantic Web, evaluation of semantic Web technology; semantic Web population from the human Web.

Data Management and Query Processing in Semantic Web Databases

Data Management and Query Processing in Semantic Web Databases PDF Author: Sven Groppe
Publisher: Springer
ISBN: 9783642193569
Category : Computers
Languages : en
Pages : 270

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Book Description
The Semantic Web, which is intended to establish a machine-understandable Web, is currently changing from being an emerging trend to a technology used in complex real-world applications. A number of standards and techniques have been developed by the World Wide Web Consortium (W3C), e.g., the Resource Description Framework (RDF), which provides a general method for conceptual descriptions for Web resources, and SPARQL, an RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence, function and annotation data, the RDF data extracted from Wikipedia, and Princeton University’s WordNet. Clearly, querying performance has become a key issue for Semantic Web applications. In his book, Groppe details various aspects of high-performance Semantic Web data management and query processing. His presentation fills the gap between Semantic Web and database books, which either fail to take into account the performance issues of large-scale data management or fail to exploit the special properties of Semantic Web data models and queries. After a general introduction to the relevant Semantic Web standards, he presents specialized indexing and sorting algorithms, adapted approaches for logical and physical query optimization, optimization possibilities when using the parallel database technologies of today’s multicore processors, and visual and embedded query languages. Groppe primarily targets researchers, students, and developers of large-scale Semantic Web applications. On the complementary book webpage readers will find additional material, such as an online demonstration of a query engine, and exercises, and their solutions, that challenge their comprehension of the topics presented.

RDF Database Systems

RDF Database Systems PDF Author: Olivier Curé
Publisher: Morgan Kaufmann
ISBN: 0128004703
Category : Computers
Languages : en
Pages : 256

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Book Description
RDF Database Systems is a cutting-edge guide that distills everything you need to know to effectively use or design an RDF database. This book starts with the basics of linked open data and covers the most recent research, practice, and technologies to help you leverage semantic technology. With an approach that combines technical detail with theoretical background, this book shows how to design and develop semantic web applications, data models, indexing and query processing solutions. Understand the Semantic Web, RDF, RDFS, SPARQL, and OWL within the context of relational database management and NoSQL systems Learn about the prevailing RDF triples solutions for both relational and non-relational databases, including column family, document, graph, and NoSQL Implement systems using RDF data with helpful guidelines and various storage solutions for RDF Process SPARQL queries with detailed explanations of query optimization, query plans, caching, and more Evaluate which approaches and systems to use when developing Semantic Web applications with a helpful description of commercial and open-source systems

Knowledge Graphs and Semantic Web

Knowledge Graphs and Semantic Web PDF Author: Boris Villazón-Terrazas
Publisher: Springer
ISBN: 9783030913045
Category : Computers
Languages : en
Pages : 331

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Book Description
This book constitutes the thoroughly refereed proceedings of the Third Iberoamerican Conference, KGSWC 2021, held in Kingsville, Texas, USA, in November 2021.* The 22 full and 2 short papers presented were carefully reviewed and selected from 85 submissions. The papers cover topics related to software and its engineering, information systems, software creation and management, World Wide Web, web data description languages, and others. *Due to the Covid-19 pandemic the conference was held virtually.

Linked Data Management

Linked Data Management PDF Author: Andreas Harth
Publisher: CRC Press
ISBN: 1466582413
Category : Computers
Languages : en
Pages : 566

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Book Description
Linked Data Management presents techniques for querying and managing Linked Data that is available on today's Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications.The text focuses on aspects of managing large-scale collections of Linked Data. It offers a detailed introduction to L

Decentralized Query Processing Over Heterogeneous Sources of Knowledge Graphs

Decentralized Query Processing Over Heterogeneous Sources of Knowledge Graphs PDF Author: L. Heling
Publisher: IOS Press
ISBN: 164368261X
Category : Computers
Languages : en
Pages : 326

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Book Description
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.