Advanced Concepts Methods And Applications In Semantic Computing

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Advanced Concepts, Methods, and Applications in Semantic Computing

Author : Daramola, Olawande,Moser, Thomas
Publisher : IGI Global
Page : 296 pages
File Size : 44,7 Mb
Release : 2020-12-18
Category : Computers
ISBN : 9781799866992

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Advanced Concepts, Methods, and Applications in Semantic Computing by Daramola, Olawande,Moser, Thomas Pdf

Semantic computing is critical for the development of semantic systems and applications that must utilize semantic analysis, semantic description, semantic interfaces, and semantic integration of data and services to deliver their objectives. Semantic computing has enormous capabilities to enhance the efficiency and throughput of systems that are based on key emerging concepts and technologies such as semantic web, internet of things, blockchain technology, and knowledge graphs. Thus, research that expounds advanced concepts, methods, technologies, and applications of semantic computing for solving challenges in real-world domains is vital. Advanced Concepts, Methods, and Applications in Semantic Computing is a scholarly reference book that provides a sound theoretical foundation for the application of semantic methods, concepts, and technologies for practical problem solving. It is designed as a comprehensive and reliable resource on how semantic-oriented approaches can be used to aid new emergent technologies and tackle real-world problems. Covering topics that include deep learning, machine learning, blockchain technology, and semantic web services, this book is ideal for professionals, academicians, researchers, and students working in the field of semantic computing in various disciplines, including but not limited to software engineering, systems engineering, knowledge engineering, electronic commerce, computer science, and information technology.

Machine Learning Applications in Non-Conventional Machining Processes

Author : Bose, Goutam Kumar,Pain, Pritam
Publisher : IGI Global
Page : 313 pages
File Size : 54,7 Mb
Release : 2021-02-05
Category : Computers
ISBN : 9781799836261

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Machine Learning Applications in Non-Conventional Machining Processes by Bose, Goutam Kumar,Pain, Pritam Pdf

Traditional machining has many limitations in today’s technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algorithms has recently transformed the manufacturing industry and created countless opportunities in non-traditional machining methods. Significant research in this area, however, is still considerably lacking. Machine Learning Applications in Non-Conventional Machining Processes is a collection of innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. While highlighting topics including evolutionary algorithms, micro-machining, and artificial neural networks, this book is ideally designed for researchers, academicians, engineers, managers, developers, practitioners, industrialists, and students seeking current research on intelligence-based machining processes in today’s technology-driven market.

Cases on Edge Computing and Analytics

Author : Ambika, Paranthaman,Donald, A. Cecil,Kumar, A. Dalvin Vinoth
Publisher : IGI Global
Page : 327 pages
File Size : 51,9 Mb
Release : 2021-01-08
Category : Computers
ISBN : 9781799848745

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Cases on Edge Computing and Analytics by Ambika, Paranthaman,Donald, A. Cecil,Kumar, A. Dalvin Vinoth Pdf

Edge computing and analytics are fascinating the whole world of computing. Industry and business are keenly embracing this sound concept to develop customer-centric solutions by enhancing their operations, offerings, and outputs. There is a bevy of advancements in this domain that came with the arrival of IoT devices. The seamless convergence of microservices and serverless computing creates vast opportunities. With the help of IoT devices and these other developments, there has become a deep interest in business automation and additional improvisations in edge computing. With the steady growth of edge devices and applications of IoT fog/edge computing and analytics, there are also distinct challenges and threats. Research has been keenly focused on identifying and understanding these issues and shortcomings to bring viable solution approaches and algorithms. Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices and computing. It addresses the key concerns of the edge computing paradigm, how they are processed, and the various technologies and tools empowering edge computing and analytics. While highlighting topics within edge computing such as the key drivers for implementation, computing capabilities, security considerations, and use-cases, this book is ideal for IT industry professionals and project managers, computer scientists, computer engineers, and practitioners, stakeholders, researchers, academicians, and students looking for research on the latest trends and transitions in edge computing.

Semantic Computing

Author : Phillip C.-Y. Sheu,Heather Yu,C. V. Ramamoorthy,Arvind K. Joshi,Lotfi A. Zadeh
Publisher : John Wiley & Sons
Page : 408 pages
File Size : 45,5 Mb
Release : 2011-07-05
Category : Computers
ISBN : 9780470920879

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Semantic Computing by Phillip C.-Y. Sheu,Heather Yu,C. V. Ramamoorthy,Arvind K. Joshi,Lotfi A. Zadeh Pdf

Presents the state of the technology and points to future directions for semantic computing Semantic computing, a rapidly evolving interdisciplinary field, seeks to structure, design, and manipulate computer content to better satisfy the needs and intentions of users and create a more meaningful user experience. This remarkable contributed work examines the art, engineering, technology, and applications of the field. Moreover, it brings together researchers from such disciplines as natural language processing, software engineering, multimedia semantics, semantic Web, signal processing, and pattern recognition in order to provide a single source that presents the state of the technology and points to new breakthroughs on the horizon. Semantic Computing begins with an introduction that explores the concepts, technology, applications, and future of semantic computing. Next, the book is divided into four parts: Part One: Semantic Analysis Part Two: Semantic Languages and Integration Part Three: Semantic Applications Part Four: Semantic Programming and Interface As readers progress through the book, they,ll learn not only the underlying science, but also the fundamental technological building blocks of semantic computing. Moreover, they,ll discover a variety of cross-disciplinary solutions to current computing and communication problems. Throughout the book, references to the primary literature enable further investigation of each individual topic. Semantic Computing is ideal for industrial managers, researchers, and engineers seeking to design the next generation of computing systems in order to better meet user needs. It is also recommended as a textbook for senior undergraduate and graduate-level semantic computing courses.

Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities

Author : Catalán Pallarés, Sandra,Valero-Lara, Pedro,Toledo Díaz, Leonel Antonio,Carratalá Sáez, Rocío
Publisher : IGI Global
Page : 279 pages
File Size : 41,9 Mb
Release : 2022-10-14
Category : Mathematics
ISBN : 9781799870845

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Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities by Catalán Pallarés, Sandra,Valero-Lara, Pedro,Toledo Díaz, Leonel Antonio,Carratalá Sáez, Rocío Pdf

Optimized linear algebra (LA) libraries that are able to exploit the underlying hardware are always of interest in the high-performance computing community. The implementation of LA software has evolved along with computer architecture, while the specification remains unaltered almost from the beginning. It is important to differentiate between the specification of LA libraries and their implementation. Because LA libraries pursue high performance, the implementation for a given architecture needs to be optimized for it specifically. However, the type of operations included in the libraries, the input/output parameters, and the data types to be handled are common to all of them. This is why, while the specification remains constant, the implementation evolves with the creation of new architectures. Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities presents the main characteristics of LA libraries, showing the differences between the standards for sparse and dense versions. It further explores relevant linear algebra problems and shows, in a clear and understandable way, how to solve them using different computer architectures. Covering topics such as programming models, batched computing, and distributed memory platforms, this premier reference source is an excellent resource for programmers, computer scientists, engineers, students and faculty of higher education, librarians, researchers, and academicians.

Computer Networks, Big Data and IoT

Author : A. Pasumpon Pandian,Xavier Fernando,Wang Haoxiang
Publisher : Springer Nature
Page : 997 pages
File Size : 53,9 Mb
Release : 2022-05-21
Category : Technology & Engineering
ISBN : 9789811908989

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Computer Networks, Big Data and IoT by A. Pasumpon Pandian,Xavier Fernando,Wang Haoxiang Pdf

This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2021), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during December 9–10, 2021. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.

Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1980 pages
File Size : 48,6 Mb
Release : 2022-06-10
Category : Computers
ISBN : 9781668463048

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Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines by Management Association, Information Resources Pdf

The rise of internet and social media usage in the past couple of decades has presented a very useful tool for many different industries and fields to utilize. With much of the world’s population writing their opinions on various products and services in public online forums, industries can collect this data through various computational tools and methods. These tools and methods, however, are still being perfected in both collection and implementation. Sentiment analysis can be used for many different industries and for many different purposes, which could better business performance and even society. The Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry. It further presents emerging technologies and developments within the field of sentiment analysis and opinion mining. Covering topics such as electronic word of mouth (eWOM), public security, and user similarity, this major reference work is a comprehensive resource for computer scientists, IT professionals, AI scientists, business leaders and managers, marketers, advertising agencies, public administrators, government officials, university administrators, libraries, students and faculty of higher education, researchers, and academicians.

Emergent Web Intelligence: Advanced Semantic Technologies

Author : Youakim Badr,Richard Chbeir,Ajith Abraham,Aboul-Ella Hassanien
Publisher : Springer Science & Business Media
Page : 497 pages
File Size : 45,8 Mb
Release : 2010-06-17
Category : Computers
ISBN : 9781849960779

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Emergent Web Intelligence: Advanced Semantic Technologies by Youakim Badr,Richard Chbeir,Ajith Abraham,Aboul-Ella Hassanien Pdf

The success of the World Wide Web depends on the ability of users to store, p- cess and retrieve digital information regardless of distance boundaries, languages and domains of knowledge. The universality and ?exibility of the World Wide Web have also enabled the rapid growth of a variety of new services and applications based on human–machine interaction. The semantics of exchanged information and services should be useful not only for human to human communications, but also in that machines would be able to understand and automatically process web content. Semanticsgive well-de?nedmeaningto web content and enable computersand p- ple to work in cooperation. Today, the crucial challenge becomes the development of languages to express information in a machine processable format. Now more than ever, new advanced techniques and intelligent approaches are required to tra- form the Web into a universal reasoning and computing machine. Web intelligence attempts to deal with this challenge by exploiting information technologies and - ti?cial intelligence approaches to design the next generation of web-empowered systems and services.

Innovations, Developments, and Applications of Semantic Web and Information Systems

Author : Miltiadis D. Lytras
Publisher : Engineering Science Reference
Page : 0 pages
File Size : 50,5 Mb
Release : 2018
Category : Computers
ISBN : 1522550445

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Innovations, Developments, and Applications of Semantic Web and Information Systems by Miltiadis D. Lytras Pdf

In the last few years, there has been an increased advancement and evolution in semantic web and information systems in a variety of fields. The integration of these approaches to ontology engineering, sophisticated methods and algorithms for open linked data extraction, and advanced decision-making creates new opportunities for a bright future. Innovations, Developments, and Applications of Semantic Web and Information Systems is a critical scholarly resource that discusses integrated methods of research and analytics in information technology. Featuring coverage on a broad range of topics, such as cognitive computing, artificial intelligence, machine learning, data analysis, and algorithms, this book is geared towards researchers, academicians, and professionals seeking current information on semantic web and information systems.

Semantic Services, Interoperability and Web Applications: Emerging Concepts

Author : Sheth, Amit
Publisher : IGI Global
Page : 420 pages
File Size : 47,9 Mb
Release : 2011-06-30
Category : Computers
ISBN : 9781609605940

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Semantic Services, Interoperability and Web Applications: Emerging Concepts by Sheth, Amit Pdf

"This book offers suggestions, solutions, and recommendations for new and emerging research in Semantic Web technology, focusing broadly on methods and techniques for making the Web more useful and meaningful"--Provided by publisher.

Semantics Empowered Web 3.0

Author : Amit Sheth,Krishnaprasad Thirunarayan
Publisher : Springer Nature
Page : 159 pages
File Size : 50,6 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031018947

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Semantics Empowered Web 3.0 by Amit Sheth,Krishnaprasad Thirunarayan Pdf

After the traditional document-centric Web 1.0 and user-generated content focused Web 2.0, Web 3.0 has become a repository of an ever growing variety of Web resources that include data and services associated with enterprises, social networks, sensors, cloud, as well as mobile and other devices that constitute the Internet of Things. These pose unprecedented challenges in terms of heterogeneity (variety), scale (volume), and continuous changes (velocity), as well as present corresponding opportunities if they can be exploited. Just as semantics has played a critical role in dealing with data heterogeneity in the past to provide interoperability and integration, it is playing an even more critical role in dealing with the challenges and helping users and applications exploit all forms of Web 3.0 data. This book presents a unified approach to harness and exploit all forms of contemporary Web resources using the core principles of ability to associate meaning with data through conceptual or domain models and semantic descriptions including annotations, and through advanced semantic techniques for search, integration, and analysis. It discusses the use of Semantic Web standards and techniques when appropriate, but also advocates the use of lighter weight, easier to use, and more scalable options when they are more suitable. The authors' extensive experience spanning research and prototypes to development of operational applications and commercial technologies and products guide the treatment of the material. Table of Contents: Role of Semantics and Metadata / Types and Models of Semantics / Annotation -- Adding Semantics to Data / Semantics for Enterprise Data / Semantics for Services / Semantics for Sensor Data / Semantics for Social Data / Semantics for Cloud Computing / Semantics for Advanced Applications

Applied Cloud Deep Semantic Recognition

Author : Mehdi Roopaei,Peyman Najafirad (Paul Rad)
Publisher : CRC Press
Page : 239 pages
File Size : 51,5 Mb
Release : 2018-04-09
Category : Computers
ISBN : 9781351119009

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Applied Cloud Deep Semantic Recognition by Mehdi Roopaei,Peyman Najafirad (Paul Rad) Pdf

This book provides a comprehensive overview of the research on anomaly detection with respect to context and situational awareness that aim to get a better understanding of how context information influences anomaly detection. In each chapter, it identifies advanced anomaly detection and key assumptions, which are used by the model to differentiate between normal and anomalous behavior. When applying a given model to a particular application, the assumptions can be used as guidelines to assess the effectiveness of the model in that domain. Each chapter provides an advanced deep content understanding and anomaly detection algorithm, and then shows how the proposed approach is deviating of the basic techniques. Further, for each chapter, it describes the advantages and disadvantages of the algorithm. The final chapters provide a discussion on the computational complexity of the models and graph computational frameworks such as Google Tensorflow and H2O because it is an important issue in real application domains. This book provides a better understanding of the different directions in which research has been done on deep semantic analysis and situational assessment using deep learning for anomalous detection, and how methods developed in one area can be applied in applications in other domains. This book seeks to provide both cyber analytics practitioners and researchers an up-to-date and advanced knowledge in cloud based frameworks for deep semantic analysis and advanced anomaly detection using cognitive and artificial intelligence (AI) models.

Recent Advances in Computer Vision

Author : Mahmoud Hassaballah,Khalid M. Hosny
Publisher : Springer
Page : 425 pages
File Size : 40,7 Mb
Release : 2018-12-14
Category : Technology & Engineering
ISBN : 9783030030001

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Recent Advances in Computer Vision by Mahmoud Hassaballah,Khalid M. Hosny Pdf

This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field.

Quantitative Semantics and Soft Computing Methods for the Web: Perspectives and Applications

Author : Brena, Ramon F.
Publisher : IGI Global
Page : 304 pages
File Size : 54,9 Mb
Release : 2011-10-31
Category : Computers
ISBN : 9781609608828

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Quantitative Semantics and Soft Computing Methods for the Web: Perspectives and Applications by Brena, Ramon F. Pdf

The Internet has been acknowledged as a recent technological revolution, due to its significant impact on society as a whole. Nevertheless, precisely due to its impact, limitations of the current Internet are becoming apparent; in particular, its inability to automatically take into account the meaning of online documents. Some proposals for taking meaning into account began to appear, mainly the so-called Semantic Web, which includes a set of technologies like RDF that are based on new markup languages. Though these technologies could be technically sound, practical limitations, such as the high training level required to construct Semantic Web pages, and the small proportion of current Semantic Web pages make the Sematic Web marginal today and also in the near foreseeable future. Quantitative Semantics and Soft Computing Methods for the Web: Perspectives and Applications will provide relevant theoretical frameworks and the latest empirical research findings related to quantitative, soft-computing and approximate methods for dealing with Internet semantics. The target audience of this book is composed of professionals and researchers working in the fields of information and knowledge related technologies (e.g. Information sciences and technology, computer science, Web science, and artificial intelligence).

Data Science with Semantic Technologies

Author : Archana Patel,Narayan C. Debnath,Bharat Bhusan
Publisher : John Wiley & Sons
Page : 469 pages
File Size : 50,9 Mb
Release : 2022-09-14
Category : Computers
ISBN : 9781119864981

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Data Science with Semantic Technologies by Archana Patel,Narayan C. Debnath,Bharat Bhusan Pdf

DATA SCIENCE WITH SEMANTIC TECHNOLOGIES This book will serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and thus becomes a unique resource for scholars, researchers, professionals, and practitioners in this field. To create intelligence in data science, it becomes necessary to utilize semantic technologies which allow machine-readable representation of data. This intelligence uniquely identifies and connects data with common business terms, and it also enables users to communicate with data. Instead of structuring the data, semantic technologies help users to understand the meaning of the data by using the concepts of semantics, ontology, OWL, linked data, and knowledge-graphs. These technologies help organizations to understand all the stored data, adding the value in it, and enabling insights that were not available before. As data is the most important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. Data Science with Semantic Technologies provides a roadmap for the deployment of semantic technologies in the field of data science. Moreover, it highlights how data science enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book provides answers to various questions like: Can semantic technologies be able to facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is knowledge data science? How does knowledge data science relate to other domains? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of researchers? Audience Researchers in the fields of data science, semantic technologies, artificial intelligence, big data, and other related domains, as well as industry professionals, software engineers/scientists, and project managers who are developing the software for data science. Students across the globe will get the basic and advanced knowledge on the current state and potential future of data science.