Ontotext Graphdb In Practice
DOWNLOAD
Download Ontotext Graphdb In Practice PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ontotext Graphdb In Practice book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Ontotext Graphdb In Practice
DOWNLOAD
Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-24
Ontotext Graphdb In Practice written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.
"Ontotext GraphDB in Practice" "Ontotext GraphDB in Practice" delivers a comprehensive, hands-on guide to leveraging the full power of semantic graph databases for modern enterprise use. Beginning with the fundamentals of graph data modeling and the W3C Semantic Web stack, the book offers a clear exposition of RDF, knowledge graphs, and the capabilities that set Ontotext GraphDB apart in a fast-evolving data landscape. It explores real-world use cases across publishing, pharma, and cultural heritage, while imparting a critical understanding of the challenges and opportunities inherent to large-scale graph-based systems. This book equips data architects, engineers, and decision-makers with end-to-end expertise in deploying, configuring, and optimizing GraphDB in both standalone and clustered environments. Readers are guided through semantic data modeling, ontology management, robust data integration, and advanced SPARQL querying, with detailed attention to scalability, high availability, and security. Practical recipes, architectural best practices, and proven deployment patterns help organizations harness flexible interoperability with cloud, data lakes, streaming platforms, BI tools, and AI-driven analytics. Expertly structured to address both foundational knowledge and advanced operational disciplines, "Ontotext GraphDB in Practice" emphasizes enterprise integration, compliance, governance, and the relentless pursuit of data quality. Drawing on case studies and field-tested techniques, it illuminates the path from effective graph modeling to deploying mission-critical knowledge graphs that transform how businesses unify, analyze, and act on information. This book is an indispensable reference for building resilient, future-proof semantic data solutions at scale.
The Practice Of Enterprise Modeling
DOWNLOAD
Author : Elda Paja
language : en
Publisher: Springer Nature
Release Date : 2024-11-29
The Practice Of Enterprise Modeling written by Elda Paja and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.
This book constitutes the proceedings of the 17th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2024, which took place in Stockholm, Sweden, during December 3-5, 2024. PoEM offers a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. This year the theme of the conference is Industry 5.0 and Society 5.0. The 17 full papers presented in this volume were carefully reviewed and selected from a total of 48 submissions. They were organized in topical sections named as follows: Enterprise modeling for digital transformation and industry applications; advances in enterprise modelling techniques; process mining and business process analysis; security, compliance, and configuration in enterprise modeling.
Data Engineering Best Practices
DOWNLOAD
Author : Richard J. Schiller
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-11
Data Engineering Best Practices written by Richard J. Schiller and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-11 with Computers categories.
Explore modern data engineering techniques and best practices to build scalable, efficient, and future-proof data processing systems across cloud platforms Key Features Architect and engineer optimized data solutions in the cloud with best practices for performance and cost-effectiveness Explore design patterns and use cases to balance roles, technology choices, and processes for a future-proof design Learn from experts to avoid common pitfalls in data engineering projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionRevolutionize your approach to data processing in the fast-paced business landscape with this essential guide to data engineering. Discover the power of scalable, efficient, and secure data solutions through expert guidance on data engineering principles and techniques. Written by two industry experts with over 60 years of combined experience, it offers deep insights into best practices, architecture, agile processes, and cloud-based pipelines. You’ll start by defining the challenges data engineers face and understand how this agile and future-proof comprehensive data solution architecture addresses them. As you explore the extensive toolkit, mastering the capabilities of various instruments, you’ll gain the knowledge needed for independent research. Covering everything you need, right from data engineering fundamentals, the guide uses real-world examples to illustrate potential solutions. It elevates your skills to architect scalable data systems, implement agile development processes, and design cloud-based data pipelines. The book further equips you with the knowledge to harness serverless computing and microservices to build resilient data applications. By the end, you'll be armed with the expertise to design and deliver high-performance data engineering solutions that are not only robust, efficient, and secure but also future-ready.What you will learn Architect scalable data solutions within a well-architected framework Implement agile software development processes tailored to your organization's needs Design cloud-based data pipelines for analytics, machine learning, and AI-ready data products Optimize data engineering capabilities to ensure performance and long-term business value Apply best practices for data security, privacy, and compliance Harness serverless computing and microservices to build resilient, scalable, and trustworthy data pipelines Who this book is for If you are a data engineer, ETL developer, or big data engineer who wants to master the principles and techniques of data engineering, this book is for you. A basic understanding of data engineering concepts, ETL processes, and big data technologies is expected. This book is also for professionals who want to explore advanced data engineering practices, including scalable data solutions, agile software development, and cloud-based data processing pipelines.
A Practical Guide To Using Glycomics Databases
DOWNLOAD
Author : Kiyoko F. Aoki-Kinoshita
language : en
Publisher: Springer
Release Date : 2016-12-06
A Practical Guide To Using Glycomics Databases written by Kiyoko F. Aoki-Kinoshita and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-06 with Science categories.
This book provides glycoscientists with a handbook of useful databases that can be applied to glycoscience research. Although many databases are now publicly available, one of the hurdles for their users is the learning curve required to effectively utilize those databases. Therefore, this book not only describes the existing databases, but also provides tips on how to obtain the target data. That is, because many databases provide a variety of data that could be obtained from different perspectives, each chapter provides users with potential biological questions that can be answered by a particular database and step-by-step instructions, with figures, on how to obtain that data. Troubleshooting tips are also provided to aid users encountering problems that can be predicted when using these databases. Moreover, contact information for each database is provided in case unexpected issues arise.
Eckm 2017 18th European Conference On Knowledge Management
DOWNLOAD
Author : Academic Conferences and Publishing Limited
language : en
Publisher: Academic Conferences and publishing limited
Release Date : 2017
Eckm 2017 18th European Conference On Knowledge Management written by Academic Conferences and Publishing Limited and has been published by Academic Conferences and publishing limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Education categories.
Advances In Information Systems Development
DOWNLOAD
Author : Gheorghe Cosmin Silaghi
language : en
Publisher: Springer Nature
Release Date : 2023-06-26
Advances In Information Systems Development written by Gheorghe Cosmin Silaghi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-26 with Computers categories.
This volume is a collection of papers on emerging concepts, significant insights, and novel approaches on information systems development (ISD). It examines and investigates up-and-coming trends in ISD in general, emphasizing benefits and risks of Artificial Intelligence in the development and operation of Information Systems. The book draws on invited papers selected from the proceedings of the 30th International Conference on Information Systems Development hosted by Babeș-Bolyai University, Cluj-Napoca, Romania, August 31 - September 2, 2022 (ISD2022). The theme of ISD2022 was “Artificial Intelligence for Information Systems Development and Operations”. The conference focused on the interplay between Information Systems and Artificial Intelligence, trying to emphasize novel, smarter automation approaches and the mitigation of risks related to AI adoption. Primary readership of the volume are researchers interested in methodological and operational perspectives related to ISD in general, and to AI adoption as a means of digital transformation in particular.
Semantic Keyword Based Search On Structured Data Sources
DOWNLOAD
Author : Jorge Cardoso
language : en
Publisher: Springer
Release Date : 2016-01-06
Semantic Keyword Based Search On Structured Data Sources written by Jorge Cardoso and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-06 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the First COST Action IC1302 International KEYSTONE Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised full papers, 3 revised short papers, and 2 invited papers were carefully reviewed and selected from 22 initial submissions. The paper topics cover techniques for keyword search, semantic data management, social Web and social media, information retrieval, benchmarking for search on big data.
Transactions On Computational Collective Intelligence Xxvi
DOWNLOAD
Author : Ngoc Thanh Nguyen
language : en
Publisher: Springer
Release Date : 2017-06-14
Transactions On Computational Collective Intelligence Xxvi written by Ngoc Thanh Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-14 with Computers categories.
These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-sixth issue is a special issue with selected papers from the First International KEYSTONE Conference 2015 (IKC 2015), part of the keystone COST Action IC1302.
Fair Data Fair Africa Fair World
DOWNLOAD
Author : Mirjam Van Reisen
language : en
Publisher: African Books Collective
Release Date : 2025-04-21
Fair Data Fair Africa Fair World written by Mirjam Van Reisen and has been published by African Books Collective this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-21 with Social Science categories.
FAIR Data FAIR Africa FAIR World: The Internationalisation of the Health Data Space is a pivotal work that highlights the transformative power of FAIR (Findable, Accessible, Interoperable, Reusable) data principles in global health. Focusing on Africa, it explores how inclusive data governance and digital cooperation can drive equity, innovation, and resilience in healthcare systems. The book underscores the urgency of building interoperable, federated health data spaces that transcend borders, respecting sovereignty while enabling global collaboration. It calls for shared standards, trusted infrastructures, and African leadership in shaping the future of digital health. A timely, strategic vision for a truly FAIRer world.
Improving Decision Making Using Semantic Web Technologies
DOWNLOAD
Author : Tek Raj Chhetri
language : en
Publisher: Springer Nature
Release Date : 2025-02-01
Improving Decision Making Using Semantic Web Technologies written by Tek Raj Chhetri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-01 with Computers categories.
As technology becomes integral to our lives, its influence on decision making in smart cities, healthcare, and manufacturing is undeniable. However, challenges such as limited contextual awareness, domain knowledge, explainability of machine learning (ML), and issues of interoperability, data quality, and GDPR (General Data Protection Regulation) compliance in data sharing hinder effective decision making. This book addresses these critical challenges by exploring how the synergy of semantic technologies (SW), like ontologies and knowledge graphs, with or without ML, can overcome these challenges to improve decision making. Through real-world case studies in data sharing, manufacturing, and agriculture, it offers theoretical and practical insights and guidelines of how SW can enhance prediction accuracy, integrate domain knowledge, support ML explainability, and tackle interoperability, data quality, and GDPR challenges.