Data Science With Semantic Technologies
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Data Science With Semantic Technologies
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Author : Archana Patel
language : en
Publisher: CRC Press
Release Date : 2023-06-20
Data Science With Semantic Technologies written by Archana Patel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-20 with Computers categories.
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
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Author : Archana Patel
language : en
Publisher: CRC Press
Release Date : 2023-06-20
Data Science With Semantic Technologies written by Archana Patel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-20 with Computers categories.
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
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Author : Archana Patel
language : en
Publisher:
Release Date : 2023
Data Science With Semantic Technologies written by Archana Patel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Artificial intelligence categories.
Provides deployment of semantic technologies in data science along with the latest applications across the field Each semantic technology has its own dedicated chapter that explains how it works in data science and shows an example of a real-world application Key points and summaries are provided at the end of each chapter to enable the readers to quickly review the major concepts Offers a practical understanding of the uses of semantic technology in data science so the readers can improve their strengths in decisions making Focuses on solving problems in the field of data science along with a wide range of latest applications
Data Science With Semantic Technologies
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Author : Archana Patel
language : en
Publisher: Wiley-Scrivener
Release Date : 2022
Data Science With Semantic Technologies written by Archana Patel and has been published by Wiley-Scrivener this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Computers categories.
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.
Semantic Data Mining
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Author : A. Ławrynowicz
language : en
Publisher: IOS Press
Release Date : 2017-04-18
Semantic Data Mining written by A. Ławrynowicz and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-18 with Computers categories.
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.
Semantic E Science
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Author : Huajun Chen
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-02
Semantic E Science written by Huajun Chen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-02 with Business & Economics categories.
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.
Semantic Applications
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Author : Thomas Hoppe
language : en
Publisher: Springer
Release Date : 2018-04-13
Semantic Applications written by Thomas Hoppe and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-13 with Computers categories.
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.
Data Quality Management With Semantic Technologies
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Author : Christian Fürber
language : en
Publisher: Springer
Release Date : 2015-12-11
Data Quality Management With Semantic Technologies written by Christian Fürber and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-11 with Computers categories.
Christian Fürber investigates the useful application of semantic technologies for the area of data quality management. Based on a literature analysis of typical data quality problems and typical activities of data quality management processes, he develops the Semantic Data Quality Management framework as the major contribution of this thesis. The SDQM framework consists of three components that are evaluated in two different use cases. Moreover, this thesis compares the framework to conventional data quality software. Besides the framework, this thesis delivers important theoretical findings, namely a comprehensive typology of data quality problems, ten generic data requirement types, a requirement-centric data quality management process, and an analysis of related work.
The Semantic Web For Knowledge And Data Management
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Author : Ma, Zongmin
language : en
Publisher: IGI Global
Release Date : 2008-08-31
The Semantic Web For Knowledge And Data Management written by Ma, Zongmin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-31 with Computers categories.
Provides a single record of technologies and practices of the Semantic approach to the management, organization, interpretation, retrieval, and use of Web-based data.
Semantic Technology
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Author : Guilin Qi
language : en
Publisher: Springer
Release Date : 2016-03-19
Semantic Technology written by Guilin Qi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-19 with Computers categories.
This book constitutes the thoroughly refereed proceedings of the 5th Joint International Semantic Technology Conference, JIST 2015, held in Yichang, China, in November 2015. The theme of the JIST 2015 conference was "Big Data and Social Media". The JIST 2015 conference consisted of main technical tracks including 2 keynotes, 2 invited talks, a regular technical paper track (full and short papers), an in-use track, a poster and demo session, workshop, and tutorial. The 14 full and 8 short papers in this volume were carefully reviewed and selected from 43 submissions. The paper cover the following topics: ontology and reasoning, linked data, learning and discovery, RDF and query, knowledge graph, knowledge integration, query and recommendation, and applications of semantic technologies.