Artículos relacionados a Designing and Building Enterprise Knowledge Graphs...

Designing and Building Enterprise Knowledge Graphs (Synthesis Lectures on Data, Semantics, and Knowledge) - Tapa blanda

 
9783031007880: Designing and Building Enterprise Knowledge Graphs (Synthesis Lectures on Data, Semantics, and Knowledge)

Sinopsis

This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Juan Sequeda is the Principal Scientist at data.world. He joined through the acquisition of Capsenta, a company he founded as a spin-off from his research. Juan’s goal is to reliably create knowledge from inscrutable data. His academic and industry work has been on designing and building knowledge graphs for enterprise data integration where he has researched and developed technologies for semantic and graph data virtualization, ontology and graph data modeling and schema mapping, and data integration methodologies. Juan serves as a bridge between academia and industry through standardization committees, like serving as the co-chair of the Property Graph Schema Working Group and a past member of the Graph Query Languages task force of the Linked Data Benchmark Council (LDBC), as well as a past invited expert member and standards editor at the World Wide Web Consortium (W3C). Juan holds a Ph.D. in Computer Science from The University of Texas at Austin. He is the recipient of the NSF Graduate Research Fellowship, 2nd place in the 2013 Semantic Web Challenge for his work on ConstituteProject.org, Best Student Research Paper at International Semantic Web Conference 2014, and the 2015 Best Transfer and Innovation Project awarded by the Institute for Applied Informatics.Ora Lassila is a Principal Graph Technologist in the Amazon Neptune graph database team. Earlier, he was a Managing Director at State Street, heading efforts to adopt ontologies and graph databases. Before that, he worked as a technology architect at Pegasystems, as an architect and technology strategist at Nokia Location & Commerce (later renamed HERE), and prior to that as a Research Fellow at the Nokia Research Center. He was an elected member of the Advisory Board of the World Wide Web Consortium (W3C) in 1998–2013, and represented Nokia in the W3C Advisory Committee in 1998–2002. In 1996–1997 he was a Visiting Scientist at MIT Laboratory for Computer Science, working with W3C and launching the Re source Description Framework (RDF) standard; he served as a co-editor of the original RDF Model and Syntax specification. Much of his research work at the Nokia Research Center focused on the Semantic Web and particularly its applications to mobile and ubiquitous computing. He collaborated with several U.S. universities, and was an active participant in the DARPA Agent Markup Language (DAML) program. His positions before that include Project Manager at the Robotics Institute of Carnegie Mellon University and Research Scientist at the Computer Science Laboratory of Helsinki University of Technology. He has also worked as a software engineer in several companies (including his own start-up). He is the author of more than 100 conference papers and journal articles. He holds a Ph.D. in Computer Science from the Helsinki University of Technology (renamed Aalto University some years ago). Ora is the recipient of the Best Student Paper award of the 1989 Scandinavian Conference on AI, the Grand Prize of the 1989 Usenix Obfuscated C Code Contest, and the Semantic Web Science Association’s 10-year award.

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar usado

Condición: Como Nuevo
Unread book in perfect condition...
Ver este artículo

EUR 17,21 gastos de envío desde Estados Unidos de America a España

Destinos, gastos y plazos de envío

Comprar nuevo

Ver este artículo

EUR 9,18 gastos de envío desde Reino Unido a España

Destinos, gastos y plazos de envío

Otras ediciones populares con el mismo título

9781636391748: Designing and Building Enterprise Knowledge Graphs (Synthesis Lectures on Data, Semantics, and Knowledge)

Edición Destacada

ISBN 10:  1636391745 ISBN 13:  9781636391748
Editorial: Morgan & Claypool Publishers, 2021
Tapa blanda

Resultados de la búsqueda para Designing and Building Enterprise Knowledge Graphs...

Imagen de archivo

SEQUEDA, JUAN
Publicado por Springer, 2021
ISBN 10: 3031007883 ISBN 13: 9783031007880
Nuevo Tapa blanda

Librería: Speedyhen, London, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: NEW. Nº de ref. del artículo: NW9783031007880

Contactar al vendedor

Comprar nuevo

EUR 53,11
Convertir moneda
Gastos de envío: EUR 9,18
De Reino Unido a España
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen de archivo

Juan Sequeda
ISBN 10: 3031007883 ISBN 13: 9783031007880
Nuevo PAP

Librería: PBShop.store UK, Fairford, GLOS, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: GB-9783031007880

Contactar al vendedor

Comprar nuevo

EUR 58,62
Convertir moneda
Gastos de envío: EUR 4,00
De Reino Unido a España
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen de archivo

Sequeda, Juan; Lassila, Ora
Publicado por Springer, 2021
ISBN 10: 3031007883 ISBN 13: 9783031007880
Nuevo Tapa blanda

Librería: Ria Christie Collections, Uxbridge, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. In English. Nº de ref. del artículo: ria9783031007880_new

Contactar al vendedor

Comprar nuevo

EUR 61,87
Convertir moneda
Gastos de envío: EUR 5,16
De Reino Unido a España
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

Juan Sequeda, Ora Lassila
ISBN 10: 3031007883 ISBN 13: 9783031007880
Nuevo Paperback

Librería: Rarewaves.com UK, London, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: New. This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers. Nº de ref. del artículo: LU-9783031007880

Contactar al vendedor

Comprar nuevo

EUR 72,27
Convertir moneda
Gastos de envío: EUR 2,30
De Reino Unido a España
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen del vendedor

Sequeda, Juan; Lassila, Ora
Publicado por Springer, 2021
ISBN 10: 3031007883 ISBN 13: 9783031007880
Nuevo Tapa blanda

Librería: GreatBookPricesUK, Woodford Green, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Nº de ref. del artículo: 44571019-n

Contactar al vendedor

Comprar nuevo

EUR 58,61
Convertir moneda
Gastos de envío: EUR 17,24
De Reino Unido a España
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

Sequeda, Juan; Lassila, Ora
Publicado por Springer, 2021
ISBN 10: 3031007883 ISBN 13: 9783031007880
Antiguo o usado Tapa blanda

Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 44571019

Contactar al vendedor

Comprar usado

EUR 62,61
Convertir moneda
Gastos de envío: EUR 17,21
De Estados Unidos de America a España
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

Sequeda, Juan; Lassila, Ora
Publicado por Springer, 2021
ISBN 10: 3031007883 ISBN 13: 9783031007880
Nuevo Tapa blanda

Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Nº de ref. del artículo: 44571019-n

Contactar al vendedor

Comprar nuevo

EUR 62,95
Convertir moneda
Gastos de envío: EUR 17,21
De Estados Unidos de America a España
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

Ora Lassila
ISBN 10: 3031007883 ISBN 13: 9783031007880
Nuevo Taschenbuch
Impresión bajo demanda

Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice. It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean This book provides the answers. 168 pp. Englisch. Nº de ref. del artículo: 9783031007880

Contactar al vendedor

Comprar nuevo

EUR 69,54
Convertir moneda
Gastos de envío: EUR 11,00
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 2 disponibles

Añadir al carrito

Imagen del vendedor

Juan Sequeda, Ora Lassila
ISBN 10: 3031007883 ISBN 13: 9783031007880
Nuevo Paperback

Librería: Rarewaves.com USA, London, LONDO, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: New. This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers. Nº de ref. del artículo: LU-9783031007880

Contactar al vendedor

Comprar nuevo

EUR 78,59
Convertir moneda
Gastos de envío: EUR 2,30
De Reino Unido a España
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen del vendedor

Ora Lassila
Publicado por Springer International Publishing, 2021
ISBN 10: 3031007883 ISBN 13: 9783031007880
Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice. It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean This book provides the answers. Nº de ref. del artículo: 9783031007880

Contactar al vendedor

Comprar nuevo

EUR 69,54
Convertir moneda
Gastos de envío: EUR 11,99
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito

Existen otras 14 copia(s) de este libro

Ver todos los resultados de su búsqueda