Editorial Cuvillier

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Open Research Knowledge Graph

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EUR 40,10

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EUR 0,00

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Open Access CC BY 4.0

Open Research Knowledge Graph (Tienda española)

Vinodh Ilangovan (Editor)
Sören Auer (Editor)
Markus Stocker (Editor)
Lars Vogt (Editor)
Sanju Tiwari (Editor)

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Lectura de prueba, PDF (670 KB)
Indice, PDF (140 KB)

ISBN-13 (Impresion) 9783689520038
ISBN-13 (E-Book) 9783689420039
Idioma Inglés
Numero de paginas 148
Laminacion de la cubierta mate
Edicion 1.
Lugar de publicacion Göttingen
Fecha de publicacion 07.05.2024
Clasificacion simple Conferencia
Area Kommunikations- und Informationswissenschaften
Palabras claves Wissensgraphen, maschinenlesbar, Weitergabe von Forschungswissen, Darstellung und Weitergabe von Forschungsergebnissen, CRISPR/Cas9-Methode, Informationsflüsse in der Wissenschaft, knowledge, information, semantic, comparsion, scientific, graph, energy, templates, paper, systems, machine, framework, ontologies, properties, process, review, models, community, science, platform, ressources, quality, articles, question, ontology, interoperability, dataset, support, biology, services, international, contribution, benchmarks, sources, pages, example, input, extraction, tools, task
Descripcion

As we mark the fifth anniversary of the alpha release of the Open Research
Knowledge Graph (ORKG), it is both timely and exhilarating to celebrate the significant
strides made in this pioneering project. We designed this book as a tribute
to the evolution and achievements of the ORKG and as a practical guide encapsulating
its essence in a form that resonates with both the general reader and the
specialist.
The ORKG has opened a new era in the way scholarly knowledge is curated, managed,
and disseminated. By transforming vast arrays of unstructured narrative text
into structured, machine-processable knowledge, the ORKG has emerged as an
essential service with sophisticated functionalities. Over the past five years, our
team has developed the ORKG into a vibrant platform that enhances the accessibility
and visibility of scientific research. This book serves as a non-technical guide
and a comprehensive reference for new and existing users that outlines the
ORKG’s approach, technologies, and its role in revolutionizing scholarly communication.
By elucidating how the ORKG facilitates the collection, enhancement, and
sharing of knowledge, we invite readers to appreciate the value and potential of
this groundbreaking digital tool presented in a tangible form.
Looking ahead, we are thrilled to announce the upcoming unveiling of promising
new features and tools at the fifth-year celebration of the ORKG’s alpha release.
These innovations are set to redefine the boundaries of machine assistance enabled
by research knowledge graphs. Among these enhancements, you can expect
more intuitive interfaces that simplify the user experience, and enhanced machinelearning
models that improve the automation and accuracy of data curation.
We also included a glossary tailored to clarifying key terms and concepts associated
with the ORKG to ensure that all readers, regardless of their technical background,
can fully engage with and understand the content presented. This book
transcends the boundaries of a typical technical report. We crafted this as an inspiration
for future applications, a testament to the ongoing evolution in scholarly
communication that invites further collaboration and innovation. Let this book serve
as both your guide and invitation to explore the ORKG as it continues to grow and
shape the landscape of scientific inquiry and communication.