Data Management And Query Processing In Semantic Web Databases

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Data Management and Query Processing in Semantic Web Databases

Author : Sven Groppe
Publisher : Springer Science & Business Media
ISBN 13 : 3642193579
Total Pages : 270 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Data Management and Query Processing in Semantic Web Databases by : Sven Groppe

Download or read book Data Management and Query Processing in Semantic Web Databases written by Sven Groppe and published by Springer Science & Business Media. This book was released on 2011-04-29 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Linked Data Management

Author : Andreas Harth
Publisher : CRC Press
ISBN 13 : 1466582413
Total Pages : 566 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Linked Data Management by : Andreas Harth

Download or read book Linked Data Management written by Andreas Harth and published by CRC Press. This book was released on 2016-04-19 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

XML Databases and the Semantic Web

Author : Bhavani Thuraisingham
Publisher : CRC Press
ISBN 13 : 1420000020
Total Pages : 336 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis XML Databases and the Semantic Web by : Bhavani Thuraisingham

Download or read book XML Databases and the Semantic Web written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2002-03-27 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efficient access to data, sharing data, extracting information from data, and making use of the information have become urgent needs for today's corporations. With so much data on the Web, managing it with conventional tools is becoming almost impossible. New tools and techniques are necessary to provide interoperability as well as warehousing between multiple data sources and systems, and to extract information from the databases. XML Databases and the Semantic Web focuses on critical and new Web technologies needed for organizations to carry out transactions on the Web, to understand how to use the Web effectively, and to exchange complex documents on the Web. This reference for database administrators, database designers, and Web designers working in tandem with database technologists covers three emerging technologies of significant impact for electronic business: Extensible Markup Language (XML), semi-structured databases, and the semantic Web. The first two parts of the book explore these emerging technologies. The third part highlights the implications of these technologies for e-business. Overall, the book presents a comprehensive view of critical technologies for the Web in general and XML in particular. The semantic Web, XML, and semi-structured databases are still relatively new technologies that integrate many other technologies. As these technologies and integration of these advances mature, we can expect to see progress in the semantic web. The information contained in XML Databases and the Semantic Web is essential to the future success of effective e-business on the Web.

RDF Database Systems

Author : Olivier Curé
Publisher : Morgan Kaufmann
ISBN 13 : 0128004703
Total Pages : 256 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis RDF Database Systems by : Olivier Curé

Download or read book RDF Database Systems written by Olivier Curé and published by Morgan Kaufmann. This book was released on 2014-11-24 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Semantic Web Information Management

Author : Roberto de Virgilio
Publisher : Springer Science & Business Media
ISBN 13 : 3642043291
Total Pages : 554 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Semantic Web Information Management by : Roberto de Virgilio

Download or read book Semantic Web Information Management written by Roberto de Virgilio and published by Springer Science & Business Media. This book was released on 2010-01-08 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Databases have been designed to store large volumes of data and to provide efficient query interfaces. Semantic Web formats are geared towards capturing domain knowledge, interlinking annotations, and offering a high-level, machine-processable view of information. However, the gigantic amount of such useful information makes efficient management of it increasingly difficult, undermining the possibility of transforming it into useful knowledge. The research presented by De Virgilio, Giunchiglia and Tanca tries to bridge the two worlds in order to leverage the efficiency and scalability of database-oriented technologies to support an ontological high-level view of data and metadata. The contributions present and analyze techniques for semantic information management, by taking advantage of the synergies between the logical basis of the Semantic Web and the logical foundations of data management. The book’s leitmotif is to propose models and methods especially tailored to represent and manage data that is appropriately structured for easier machine processing on the Web. After two introductory chapters on data management and the Semantic Web in general, the remaining contributions are grouped into five parts on Semantic Web Data Storage, Reasoning in the Semantic Web, Semantic Web Data Querying, Semantic Web Applications, and Engineering Semantic Web Systems. The handbook-like presentation makes this volume an important reference on current work and a source of inspiration for future development, targeting academic and industrial researchers as well as graduate students in Semantic Web technologies or database design.

Semantic Web Information Management

Author : Roberto de Virgilio
Publisher : Springer
ISBN 13 : 9783642043604
Total Pages : 549 pages
Book Rating : 4.0/5 (436 download)

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Book Synopsis Semantic Web Information Management by : Roberto de Virgilio

Download or read book Semantic Web Information Management written by Roberto de Virgilio and published by Springer. This book was released on 2010-05-03 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Databases have been designed to store large volumes of data and to provide efficient query interfaces. Semantic Web formats are geared towards capturing domain knowledge, interlinking annotations, and offering a high-level, machine-processable view of information. However, the gigantic amount of such useful information makes efficient management of it increasingly difficult, undermining the possibility of transforming it into useful knowledge. The research presented by De Virgilio, Giunchiglia and Tanca tries to bridge the two worlds in order to leverage the efficiency and scalability of database-oriented technologies to support an ontological high-level view of data and metadata. The contributions present and analyze techniques for semantic information management, by taking advantage of the synergies between the logical basis of the Semantic Web and the logical foundations of data management. The book’s leitmotif is to propose models and methods especially tailored to represent and manage data that is appropriately structured for easier machine processing on the Web. After two introductory chapters on data management and the Semantic Web in general, the remaining contributions are grouped into five parts on Semantic Web Data Storage, Reasoning in the Semantic Web, Semantic Web Data Querying, Semantic Web Applications, and Engineering Semantic Web Systems. The handbook-like presentation makes this volume an important reference on current work and a source of inspiration for future development, targeting academic and industrial researchers as well as graduate students in Semantic Web technologies or database design.

Uncertain Spatiotemporal Data Management for the Semantic Web

Author : Bai, Luyi
Publisher : IGI Global
ISBN 13 : 1668491095
Total Pages : 527 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Uncertain Spatiotemporal Data Management for the Semantic Web by : Bai, Luyi

Download or read book Uncertain Spatiotemporal Data Management for the Semantic Web written by Bai, Luyi and published by IGI Global. This book was released on 2024-03-01 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the world of data management, one of the most formidable challenges faced by academic scholars is the effective handling of spatiotemporal data within the semantic web. As our world continues to change dynamically with time, nearly every aspect of our lives, from environmental monitoring to urban planning and beyond, is intrinsically linked to time and space. This synergy has given rise to an avalanche of spatiotemporal data, and the pressing question is how to manage, model, and query this voluminous information effectively. The existing approaches often fall short in addressing the intricacies and uncertainties that come with spatiotemporal data, leaving scholars struggling to unlock its full potential. Uncertain Spatiotemporal Data Management for the Semantic Web is the definitive solution to the challenges faced by academic scholars in the realm of spatiotemporal data. This book offers a visionary approach to an all-encompassing guide in modeling and querying spatiotemporal data using innovative technologies like XML and RDF. Through a meticulously crafted set of chapters, this book sheds light on the nuances of spatiotemporal data and also provides practical solutions that empower scholars to navigate the complexities of this domain effectively.

Federated Query Processing for the Semantic Web

Author : C. Buil-Aranda
Publisher : IOS Press
ISBN 13 : 1614993505
Total Pages : 200 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Federated Query Processing for the Semantic Web by : C. Buil-Aranda

Download or read book Federated Query Processing for the Semantic Web written by C. Buil-Aranda and published by IOS Press. This book was released on 2014-01-22 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Query Processing over Graph-structured Data on the Web

Author : M. Acosta Deibe
Publisher : IOS Press
ISBN 13 : 1614999163
Total Pages : 244 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Query Processing over Graph-structured Data on the Web by : M. Acosta Deibe

Download or read book Query Processing over Graph-structured Data on the Web written by M. Acosta Deibe and published by IOS Press. This book was released on 2018-10-12 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Semantic Web Services for Web Databases

Author : Mourad Ouzzani
Publisher : Springer Science & Business Media
ISBN 13 : 1461416442
Total Pages : 134 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Semantic Web Services for Web Databases by : Mourad Ouzzani

Download or read book Semantic Web Services for Web Databases written by Mourad Ouzzani and published by Springer Science & Business Media. This book was released on 2011-10-23 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semantic Web Services for Web Databases introduces an end-to-end framework for querying Web databases using novel Web service querying techniques. This includes a detailed framework for the query infrastructure for Web databases and services. Case studies are covered in the last section of this book. Semantic Web Services For Web Databases is designed for practitioners and researchers focused on service-oriented computing and Web databases.

RDF Database Systems

Author : Olivier Curé
Publisher :
ISBN 13 :
Total Pages : 256 pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis RDF Database Systems by : Olivier Curé

Download or read book RDF Database Systems written by Olivier Curé and published by . This book was released on 2014 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Linked Data

Author : Sherif Sakr
Publisher : Springer
ISBN 13 : 3319735152
Total Pages : 223 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Linked Data by : Sherif Sakr

Download or read book Linked Data written by Sherif Sakr and published by Springer. This book was released on 2018-03-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance management and benchmarking. To this end, Chapter 1 introduces the main concepts of the Semantic Web and Linked Data and provides a roadmap for the book. Next, Chapter 2 briefly presents the basic concepts underpinning Linked Data technologies that are discussed in the book. Chapter 3 then offers an overview of various techniques and systems for centrally querying RDF datasets, and Chapter 4 outlines various techniques and systems for efficiently querying large RDF datasets in distributed environments. Subsequently, Chapter 5 explores how streaming requirements are addressed in current, state-of-the-art RDF stream data processing. Chapter 6 covers performance and scaling issues of distributed RDF reasoning systems, while Chapter 7 details benchmarks for RDF query engines and instance matching systems. Chapter 8 addresses the provenance management for Linked Data and presents the different provenance models developed. Lastly, Chapter 9 offers a brief summary, highlighting and providing insights into some of the open challenges and research directions. Providing an updated overview of methods, technologies and systems related to Linked Data this book is mainly intended for students and researchers who are interested in the Linked Data domain. It enables students to gain an understanding of the foundations and underpinning technologies and standards for Linked Data, while researchers benefit from the in-depth coverage of the emerging and ongoing advances in Linked Data storing, querying, reasoning, and provenance management systems. Further, it serves as a starting point to tackle the next research challenges in the domain of Linked Data management.

New Directions in Web Data Management 1

Author : Athena Vakali
Publisher : Springer Science & Business Media
ISBN 13 : 3642175503
Total Pages : 357 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis New Directions in Web Data Management 1 by : Athena Vakali

Download or read book New Directions in Web Data Management 1 written by Athena Vakali and published by Springer Science & Business Media. This book was released on 2011-01-19 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the major issues in the Web data management related to technologies and infrastructures, methodologies and techniques as well as applications and implementations. Emphasis is placed on Web engineering and technologies, Web graph managing, searching and querying and the importance of social Web.

Secure Data Provenance and Inference Control with Semantic Web

Author : Bhavani Thuraisingham
Publisher : CRC Press
ISBN 13 : 1466569433
Total Pages : 482 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Secure Data Provenance and Inference Control with Semantic Web by : Bhavani Thuraisingham

Download or read book Secure Data Provenance and Inference Control with Semantic Web written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2014-08-01 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an ever-increasing amount of information on the web, it is critical to understand the pedigree, quality, and accuracy of your data. Using provenance, you can ascertain the quality of data based on its ancestral data and derivations, track back to sources of errors, allow automatic re-enactment of derivations to update data, and provide attribution of the data source. Secure Data Provenance and Inference Control with Semantic Web supplies step-by-step instructions on how to secure the provenance of your data to make sure it is safe from inference attacks. It details the design and implementation of a policy engine for provenance of data and presents case studies that illustrate solutions in a typical distributed health care system for hospitals. Although the case studies describe solutions in the health care domain, you can easily apply the methods presented in the book to a range of other domains. The book describes the design and implementation of a policy engine for provenance and demonstrates the use of Semantic Web technologies and cloud computing technologies to enhance the scalability of solutions. It covers Semantic Web technologies for the representation and reasoning of the provenance of the data and provides a unifying framework for securing provenance that can help to address the various criteria of your information systems. Illustrating key concepts and practical techniques, the book considers cloud computing technologies that can enhance the scalability of solutions. After reading this book you will be better prepared to keep up with the on-going development of the prototypes, products, tools, and standards for secure data management, secure Semantic Web, secure web services, and secure cloud computing.

The Semantic Web -- ISWC 2011

Author : Lora Aroyo
Publisher : Springer Science & Business Media
ISBN 13 : 3642250726
Total Pages : 836 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis The Semantic Web -- ISWC 2011 by : Lora Aroyo

Download or read book The Semantic Web -- ISWC 2011 written by Lora Aroyo and published by Springer Science & Business Media. This book was released on 2011-10-26 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Linked Data Management

Author : Andreas Harth
Publisher :
ISBN 13 : 9781306906050
Total Pages : 566 pages
Book Rating : 4.9/5 (6 download)

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Book Synopsis Linked Data Management by : Andreas Harth

Download or read book Linked Data Management written by Andreas Harth and published by . This book was released on 2014-01-01 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Linked Data and related standards, including the main principles distinguishing Linked Data from standard database technology. Chapters also describe how to generate links between datasets and explain the overall architecture of data integration systems based on Linked Data. A large part of the text is devoted to query processing in different setups. After presenting methods to publish relational data as Linked Data and efficient centralized processing, the book explores lookup-based, distributed, and parallel solutions. It then addresses advanced topics, such as reasoning, and discusses work related to read-write Linked Data for system interoperation. Despite the publication of many papers since Tim Berners-Lee developed the Linked Data principles in 2006, the field lacks a comprehensive, unified overview of the state of the art. Suitable for both researchers and practitioners, this book provides a thorough, consolidated account of the new data publishing and data integration paradigm. While the book covers query processing extensively, the Linked Data abstraction furnishes more than a mechanism for collecting, integrating, and querying data from the open Web the Linked Data technology stack also allows for controlled, sophisticated applications deployed in an enterprise environment."

Knowledge Graphs and Big Data Processing

Author : Valentina Janev
Publisher : Springer Nature
ISBN 13 : 3030531996
Total Pages : 212 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Knowledge Graphs and Big Data Processing by : Valentina Janev

Download or read book Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer Nature. This book was released on 2020-07-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.