Data Science With Semantic Technologies

Data Science With Semantic Technologies Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Data Science With Semantic Technologies book. This book definitely worth reading, it is an incredibly well-written.

Data Science with Semantic Technologies

Author : Archana Patel,Narayan C. Debnath
Publisher : CRC Press
Page : 293 pages
File Size : 43,9 Mb
Release : 2023-06-20
Category : Computers
ISBN : 9781000881233

Get Book

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

As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This first volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies. Data Science with Semantic Technologies: New Trends and Future Developments highlights how data science enables the user to create intelligence through these technologies. In addition, this book offers the answers to various questions such as: Can semantic technologies 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 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 the researchers? What should be the vision 2030 for data science? This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and, thus, it is a unique resource for scholars, researchers, professionals, and practitioners in this field.

Data Science with Semantic Technologies

Author : Archana Patel,Narayan C. Debnath
Publisher : CRC Press
Page : 234 pages
File Size : 43,9 Mb
Release : 2023-06-20
Category : Computers
ISBN : 9781000881295

Get Book

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

Gone are the days when data was interlinked with related data by humans and human interpretation was required. Data is no longer just data. It is now considered a Thing or Entity or Concept with meaning, so that a machine not only understands the concept but also extrapolates the way humans do. Data Science with Semantic Technologies: Deployment and Exploration, the second volume of a two-volume handbook set, provides a roadmap for the deployment of semantic technologies in the field of data science and 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 offers the answer to various questions like: What makes a technology semantic as opposed to other approaches to data science? What is knowledge data science? How does knowledge data science relate to other fields? This book explores the optimal use of these technologies to provide the highest benefit to the user under one comprehensive source and title. As there is no dedicated book available in the market on this topic at this time, this book becomes a unique resource for scholars, researchers, data scientists, professionals, and practitioners. This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation.

Data Science with Semantic Technologies

Author : Archana Patel,Narayan C. Debnath,Bharat Bhusan
Publisher : Wiley-Scrivener
Page : 0 pages
File Size : 40,6 Mb
Release : 2022
Category : Computers
ISBN : 1119865336

Get Book

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.

The Semantic Web for Knowledge and Data Management

Author : Ma, Zongmin,Wang, Huaiqing
Publisher : IGI Global
Page : 386 pages
File Size : 45,7 Mb
Release : 2008-08-31
Category : Computers
ISBN : 9781605660295

Get Book

The Semantic Web for Knowledge and Data Management by Ma, Zongmin,Wang, Huaiqing Pdf

Provides a single record of technologies and practices of the Semantic approach to the management, organization, interpretation, retrieval, and use of Web-based data.

The Semantic Web Explained

Author : Péter Szeredi,Gergely Lukácsy,Tamás Benk&337;
Publisher : Cambridge University Press
Page : 481 pages
File Size : 55,5 Mb
Release : 2014-09-11
Category : Computers
ISBN : 9780521700368

Get Book

The Semantic Web Explained by Péter Szeredi,Gergely Lukácsy,Tamás Benk&337; Pdf

"The Semantic Web is a new area of research and development in the field of computer science that aims to make it easier for computers to process the huge amount of information on the Web, and indeed other large databases, by enabling them not only to read, but also to understand the information. Based on successful courses taught by the authors, and liberally sprinkled with examples and exercises, this comprehensive textbook describes not only the theoretical issues underlying the Semantic Web, but alsoalgorithms, optimisation ideas and implementation details. The book will therefore be valuable to practitioners as well as students, indeed to anyone who is interested in Internet technology, knowledge engineering or description logics. Supplementary materials available online include the source code of program examples and solutions to selected exercises"--

Semantic Applications

Author : Thomas Hoppe,Bernhard Humm,Anatol Reibold
Publisher : Springer
Page : 264 pages
File Size : 54,9 Mb
Release : 2018-04-13
Category : Computers
ISBN : 9783662554333

Get Book

Semantic Applications by Thomas Hoppe,Bernhard Humm,Anatol Reibold Pdf

This book describes methodologies for developing semantic applications. Semantic applications are software applications which explicitly or implicitly use the semantics, i.e. the meaning of a domain terminology, in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. The book includes technological and architectural best practices for corporate use. The authors are experts from industry and academia with experience in developing semantic applications.

Semantic Data Mining

Author : A. Ławrynowicz
Publisher : IOS Press
Page : 210 pages
File Size : 52,5 Mb
Release : 2017-04-18
Category : Computers
ISBN : 9781614997467

Get Book

Semantic Data Mining by A. Ławrynowicz Pdf

Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry. The book is devoted to semantic data mining – a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies and knowledge graphs, rather than only purely empirical data. The introductory chapters of the book provide theoretical foundations of both data mining and ontology representation. Taking a unified perspective, the book then covers several methods for semantic data mining, addressing tasks such as pattern mining, classification and similarity-based approaches. It attempts to provide state-of-the-art answers to specific challenges and peculiarities of data mining with use of ontologies, in particular: How to deal with incompleteness of knowledge and the so-called Open World Assumption? What is a truly “semantic” similarity measure? The book contains several chapters with examples of applications of semantic data mining. The examples start from a scenario with moderate use of lightweight ontologies for knowledge graph enrichment and end with a full-fledged scenario of an intelligent knowledge discovery assistant using complex domain ontologies for meta-mining, i.e., an ontology-based meta-learning approach to full data mining processes. The book is intended for researchers in the fields of semantic technologies, knowledge engineering, data science, and data mining, and developers of knowledge-based systems and applications.

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 : 54,9 Mb
Release : 2010-06-17
Category : Computers
ISBN : 9781849960779

Get Book

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.

Data Science for Healthcare

Author : Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Publisher : Springer
Page : 367 pages
File Size : 41,9 Mb
Release : 2019-02-23
Category : Computers
ISBN : 9783030052492

Get Book

Data Science for Healthcare by Sergio Consoli,Diego Reforgiato Recupero,Milan Petković Pdf

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.

Semantic e-Science

Author : Huajun Chen,Yimin Wang,Kei-Hoi Cheung
Publisher : Springer Science & Business Media
Page : 352 pages
File Size : 42,8 Mb
Release : 2010-09-02
Category : Business & Economics
ISBN : 9781441959089

Get Book

Semantic e-Science by Huajun Chen,Yimin Wang,Kei-Hoi Cheung Pdf

The Semantic Web has been a very important development in how knowledge is disseminated and manipulated on the Web, but it has been of particular importance to the flow of scientific knowledge, and will continue to shape how data is stored and accessed in a broad range of disciplines, including life sciences, earth science, materials science, and the social sciences. After first presenting papers on the foundations of semantic e-science, including papers on scientific knowledge acquisition, data integration, and workflow, this volume looks at the state of the art in each of the above-mentioned disciplines, presenting research on semantic web applications in the life, earth, materials, and social sciences. Drawing papers from three semantic web workshops, as well as papers from several invited contributors, this volume illustrates how far semantic web applications have come in helping to manage scientific information flow.

Practical Data Science for Information Professionals

Author : David Stuart
Publisher : Facet Publishing
Page : 200 pages
File Size : 51,5 Mb
Release : 2020-07-24
Category : Language Arts & Disciplines
ISBN : 9781783303441

Get Book

Practical Data Science for Information Professionals by David Stuart Pdf

Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application. It provides detailed examples and analysis on real data sets to explore the basics of the subject in three principle areas: clustering and social network analysis; predictions and forecasts; and text analysis and mining. As well as highlighting a wealth of user-friendly data science tools, the book also includes some example code in two of the most popular programming languages (R and Python) to demonstrate the ease with which the information professional can move beyond the graphical user interface and achieve significant analysis with just a few lines of code. After reading, readers will understand: · the growing importance of data science · the role of the information professional in data science · some of the most important tools and methods that information professionals can use. Bringing together the growing importance of data science and the increasing role of information professionals in the management and use of data, Practical Data Science for Information Professionals will provide a practical introduction to the topic specifically designed for the information community. It will appeal to librarians and information professionals all around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, it aims to reduce barriers for readers to use the lessons learned within.

Semantic Web Technologies

Author : Archana Patel,Narayan C. Debnath,Bharat Bhushan
Publisher : CRC Press
Page : 400 pages
File Size : 49,7 Mb
Release : 2022-10-17
Category : Computers
ISBN : 9781000729238

Get Book

Semantic Web Technologies by Archana Patel,Narayan C. Debnath,Bharat Bhushan Pdf

Semantic web technologies (SWTs) offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. This book provides a roadmap for semantic web technologies (SWTs) and highlights their role in a wide range of domains including cloud computing, Internet of Things, big data, sensor network, and so forth. It also explores the prospects of these technologies including different data interchange formats, query languages, ontologies, Linked Data, and notations. The role of SWTs in ‘epidemic Covid-19’, ‘e-learning platforms and systems’, ‘block chain’, ‘open online courses’, and ‘visual analytics in healthcare’ is described as well. This book: Explores all the critical aspects of semantic web technologies (SWTs) Discusses the impact of SWTs on cloud computing, Internet of Things, big data, and sensor network Offers a comprehensive examination of the emerging research in the areas of SWTs and their related domains Provides a template to develop a wide range of smart and intelligent applications Includes latest applications and examples with real data This book is aimed at researchers and graduate students in computer science, informatics, web technology, cloud computing, and Internet of Things.

Semantic Web and Web Science

Author : Juanzi Li,Guilin Qi,Dongyan Zhao,Wolfgang Nejdl,Hai-Tao Zheng
Publisher : Springer Science & Business Media
Page : 395 pages
File Size : 41,7 Mb
Release : 2013-06-13
Category : Computers
ISBN : 9781461468806

Get Book

Semantic Web and Web Science by Juanzi Li,Guilin Qi,Dongyan Zhao,Wolfgang Nejdl,Hai-Tao Zheng Pdf

The book will focus on exploiting state of the art research in semantic web and web science. The rapidly evolving world-wide-web has led to revolutionary changes in the whole of society. The research and development of the semantic web covers a number of global standards of the web and cutting edge technologies, such as: linked data, social semantic web, semantic web search, smart data integration, semantic web mining and web scale computing. These proceedings are from the 6th Chinese Semantics Web Symposium.

Semantic Technologies for Intelligent Industry 4. 0 Applications

Author : Archana Patel,Narayan C. Debnath
Publisher : Unknown
Page : 0 pages
File Size : 55,9 Mb
Release : 2023-08-31
Category : Industry 4.0
ISBN : 8770227829

Get Book

Semantic Technologies for Intelligent Industry 4. 0 Applications by Archana Patel,Narayan C. Debnath Pdf

This book provides a roadmap for semantic technologies and highlights the role of these technologies in industry, making it an important guide towards the latest industrial applications of semantic technologies for the upcoming generation and is a unique resource for scholars, researchers, professionals and practitioners in the field. The book also explores the present and future prospects of these semantic technologies along with providing answers to various questions like: Are semantic technologies useful for the next era (industry 4.0)? Why are semantic technologies so popular and extensively used in the industry? Can semantic technologies make intelligent industrial applications? Which type of problem requires the immediate attention of researchers? Why are semantic technologies very helpful in people's future lives? As the world enters the era of big data, there is a serious need to give a semantic perspective to the data in order to find unseen patterns, derive meaningful information, and make intelligent decisions. Semantic technologies offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. These technologies reduce the problem of large semantic loss in the process of modelling knowledge, and provide sharable, reusable knowledge, and a common understanding of the knowledge. As a result, the interoperability and interconnectivity of the model make it priceless for addressing the issues of querying data. These technologies work with the concepts and relations that are very close to the working of the human brain. They provide a semantic representation of any data format: unstructured or semi-structured. As a consequence, data becomes real-world entity rather than a string of characters. For these reasons, semantic technologies are highly valuable tools to simplify the existing problems of the industry leading to new opportunities. However, there are some challenges that need to be addressed to make industrial applications and machines smarter.

Semantic Web

Author : Michael Workman
Publisher : Springer
Page : 229 pages
File Size : 44,9 Mb
Release : 2015-08-27
Category : Technology & Engineering
ISBN : 9783319166582

Get Book

Semantic Web by Michael Workman Pdf

This book examines recent developments in semantic systems that can respond to situations and environments and events. The contributors to this book cover how to design, implement and utilize disruptive technologies. The editor discusses the two fundamental sets of disruptive technologies: the development of semantic technologies including description logics, ontologies and agent frameworks; and the development of semantic information rendering and graphical forms of displays of high-density time-sensitive data to improve situational awareness. Beyond practical illustrations of emerging technologies, the editor proposes to utilize an incremental development method called knowledge scaffolding –a proven educational psychology technique for learning a subject matter thoroughly. The goal of this book is to help readers learn about managing information resources, from the ground up and reinforcing the learning as they read on.