Graph Data Models And Semantic Web Technologies In Scholarly Digital Editing PDF Download
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Author | : Elena Spadini |
Publisher | : BoD – Books on Demand |
Total Pages | : 226 |
Release | : 2021-10-06 |
Genre | : Computers |
ISBN | : 3754343696 |
Download Graph Data-Models and Semantic Web Technologies in Scholarly Digital Editing Book in PDF, ePub and Kindle
In scholarly digital editing, the established practice for semantically enriching digital texts is to add markup to a linear string of characters. Graph data-models provide an alternative approach, which is increasingly being given serious consideration. Labelled-property-graph databases, and the W3c's semantic web recommendation and associated standards (RDF and OWL) are powerful and flexible solutions to many of the problems that come with embedded markup. This volume explores the combination of scholarly digital editions, the graph data-model, and the semantic web from three perspectives: infrastructures and technologies, formal models, and projects and editions.
Author | : John Hebeler |
Publisher | : John Wiley & Sons |
Total Pages | : 662 |
Release | : 2011-02-25 |
Genre | : Computers |
ISBN | : 1118080602 |
Download Semantic Web Programming Book in PDF, ePub and Kindle
The next major advance in the Web-Web 3.0-will be built on semantic Web technologies, which will allow data to be shared and reused across application, enterprise, and community boundaries. Written by a team of highly experienced Web developers, this book explains examines how this powerful new technology can unify and fully leverage the ever-growing data, information, and services that are available on the Internet. Helpful examples demonstrate how to use the semantic Web to solve practical, real-world problems while you take a look at the set of design principles, collaborative working groups, and technologies that form the semantic Web. The companion Web site features full code, as well as a reference section, a FAQ section, a discussion forum, and a semantic blog.
Author | : Aidan Hogan |
Publisher | : Morgan & Claypool Publishers |
Total Pages | : 257 |
Release | : 2021-11-08 |
Genre | : Computers |
ISBN | : 1636392369 |
Download Knowledge Graphs Book in PDF, ePub and Kindle
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.
Author | : Laura Po |
Publisher | : Morgan & Claypool Publishers |
Total Pages | : 157 |
Release | : 2020-03-20 |
Genre | : Computers |
ISBN | : 1681737264 |
Download Linked Data Visualization Book in PDF, ePub and Kindle
Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been adopted as the established practice for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens. This book covers a wide spectrum of visualization topics, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents core concepts related to data visualization and LD technologies, techniques employed for data visualization based on the characteristics of data, techniques for Big Data visualization, tools and use cases in the LD context, and, finally, a thorough assessment of the usability of these tools under different scenarios. The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or as a primer for all those interested in LD and data visualization.
Author | : Bijan Rouhani |
Publisher | : Taylor & Francis |
Total Pages | : 229 |
Release | : 2023-11-15 |
Genre | : Art |
ISBN | : 1003803636 |
Download Managing Disaster Risks to Cultural Heritage Book in PDF, ePub and Kindle
Managing Disaster Risks to Cultural Heritage presents case studies from different regions in the world and establishes a framework for understanding, identifying, and analysing disaster risks to immovable cultural heritage. Featuring contributions from academics and practitioners from around the globe, the book presents a comprehensive view of the scholarship relating to cultural heritage, disaster risk preparedness, and post-disaster recovery. Particular attention is given to the complex and dynamic nature of disaster risks and how they evolve during different phases of a catastrophic event, especially as hazards can create secondary effects that have greater impacts on cultural heritage, infrastructure, and economy. Arguing that risk preparedness and mitigation have historically been secondary to reactive emergency and first aid response, the book demonstrates that preparedness plans based on sound risk assessments can prevent hazards from becoming disasters. Emphasising that the protection of cultural heritage through preparedness, mitigation actions, and risk adaptation measures – especially for climate change – can contribute to the resilience of societies, the book highlights the vital role of communities in such activities. Managing Disaster Risks to Cultural Heritage will be useful to students, professionals, and scholars studying and working with cultural heritage protection. It will be of particular interest to those working in the fields of Cultural Heritage, Archaeology, Conservation and Preservation, Sustainable Development, and Disaster Studies.
Author | : Tessa Gengnagel |
Publisher | : arthistoricum.net |
Total Pages | : 570 |
Release | : 2024-02-07 |
Genre | : Art |
ISBN | : 3985011389 |
Download Digital Scholarly Editions Beyond Text Book in PDF, ePub and Kindle
Scholarly editions contextualize our cultural heritage. Traditionally, methodologies from the field of scholarly editing are applied to works of literature, e.g. in order to trace their genesis or present their varied history of transmission. What do we make of the variance in other types of cultural heritage? How can we describe, record, and reproduce it systematically? From medieval to modern times, from image to audiovisual media, the book traces discourses across different disciplines in order to develop a conceptual model for scholarly editions on a broader scale. By doing so, it also delves into the theory and philosophy of the (digital) humanities as such.
Author | : Roman Bleier |
Publisher | : BoD – Books on Demand |
Total Pages | : 250 |
Release | : 2023-03-28 |
Genre | : |
ISBN | : 3743102846 |
Download Digitale Edition in Österreich. Digital Scholarly Edition in Austria. Book in PDF, ePub and Kindle
Author | : Ruben Verborgh |
Publisher | : Packt Publishing Ltd |
Total Pages | : 155 |
Release | : 2013-09-10 |
Genre | : Computers |
ISBN | : 1783289090 |
Download Using OpenRefine Book in PDF, ePub and Kindle
The book is styled on a Cookbook, containing recipes - combined with free datasets - which will turn readers into proficient OpenRefine users in the fastest possible way.This book is targeted at anyone who works on or handles a large amount of data. No prior knowledge of OpenRefine is required, as we start from the very beginning and gradually reveal more advanced features. You don't even need your own dataset, as we provide example data to try out the book's recipes.
Author | : Julia Nantke |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 416 |
Release | : 2020-10-26 |
Genre | : Literary Criticism |
ISBN | : 3110689170 |
Download Annotations in Scholarly Editions and Research Book in PDF, ePub and Kindle
The term ‘annotation’ is associated in the Humanities and Technical Sciences with different concepts that vary in coverage, application and direction but which also have instructive parallels. This publication mirrors the increasing cooperation that has been taking place between the two disciplines within the scope of the digitalization of the Humanities. It presents the results of an international conference on the concept of annotation that took place at the University of Wuppertal in February 2019. This publication reflects on different practices and associated concepts of annotation in an interdisciplinary perspective, puts them in relation to each other and attempts to systematize their commonalities and divergences. The following dynamic visualizations allow an interactive navigation within the volume based on keywords: Wordcloud ☁ , Matrix ▦ , Edge Bundling ⊛
Author | : Wang, John |
Publisher | : IGI Global |
Total Pages | : 1382 |
Release | : 2005-06-30 |
Genre | : Computers |
ISBN | : 1591405599 |
Download Encyclopedia of Data Warehousing and Mining Book in PDF, ePub and Kindle
Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.