Personnaliser

OK

Knowledge Graphs - Aidan Hogan

Note : 0

0 avis
  • Soyez le premier à donner un avis

Vous en avez un à vendre ?

Vendez-le-vôtre

43,30 €

Produit Neuf

  • Ou 10,83 € /mois

    • Livraison à 0,01 €
    Voir les modes de livraison

    rarewaves-uk

    PRO Vendeur favori

    4,8/5 sur + de 1 000 ventes

    Expédition rapide et soignée depuis l`Angleterre - Délai de livraison: entre 10 et 20 jours ouvrés.

    Publicité
     
    Vous avez choisi le retrait chez le vendeur à
    • Payez directement sur Rakuten (CB, PayPal, 4xCB...)
    • Récupérez le produit directement chez le vendeur
    • Rakuten vous rembourse en cas de problème

    Gratuit et sans engagement

    Félicitations !

    Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !

    En savoir plus

    Retour

    Horaires

        Note :


        Avis sur Knowledge Graphs de Aidan Hogan Format Broché  - Livre Philosophie

        Note : 0 0 avis sur Knowledge Graphs de Aidan Hogan Format Broché  - Livre Philosophie

        Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.


        Présentation Knowledge Graphs de Aidan Hogan Format Broché

         - Livre Philosophie

        Livre Philosophie - Aidan Hogan - 01/11/2021 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Aidan Hogan - Anisa Rula - Antoine Zimmermann - Axel Polleres - Axel-Cyrille Ngonga Ngomo - Claudia D'Amato - Claudio Gutierrez - Eva Blomqvist - Gerard de Melo - Jose Emilio Labra Gayo - Juan Sequeda - Lukas Schmelzeisen - Michael Cochez - Roberto Navigli - Sabbir Rashid - Sabrina Kirrane - Sebastian Neumaier - Steffen Staab
      • Editeur : Springer International Publishing Ag
      • Langue : Anglais
      • Parution : 01/11/2021
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 260
      • Expédition : 492
      • Dimensions : 23.5 x 19.1 x 1.5
      • ISBN : 3031007905



      • Résumé :
        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.

        Biographie:

        Aidan Hogan is an Associate Professor at the Department of Computer Science, Universidad de Chile, and an Associate Researcher in the Millennium Institute for Foundational Research on Data (IMFD).
        Eva Blomqvist is an Associate Professor at the Department of Computer and Information Science, Link?ping University.
        Michael Cochez is an Assistant Professor in the Knowledge Representation and Reasoning Group at the Computer Science department of the Vrije Universiteit, Amsterdam.
        Claudia d'Amato is an Associate Professor at the Department of Computer Science, University of Bari, Italy and a member of the Knowledge Acquisition and Machine Learning Lab.
        Gerard de Melo is a Full Professor at the Hasso Plattner Institute for Digital Engineering and at the University of Potsdam, where he holds the Chair for Artificial Intelligence and Intelligent Systems.
        Claudio Gutierrez is Full Professor at the Department of Computer Science, Universidad de Chile, and a Senior Researcher in the Millennium Institute for Foundational Research on Data (IMFD).
        Sabrina Kirrane is an Assistant Professor at the Vienna University of Economics and Business Institute for Information Systems and New Media, where she is also a member of the Research Institute for Cryptoeconomics and the Sustainable Computing Lab.
        Jose Emilio Labra Gayo is an Associate Professor at the University of Oviedo, Spain.
        Roberto Navigli is a Full Professor of Computer Science at the Sapienza University of Rome, where he leads the Sapienza NLP Group.
        Sebastian Neumaier is a researcher in the Data Intelligence group at the St. Poelten University of Applied Sciences, Austria.
        Axel-Cyrille Ngonga Ngomo is a Full Professor for Data Science at Paderborn University.
        Axel Polleres heads the Institute for Data, Process and Knowledge Management as a Full Professor of Vienna University of Economics and Business (WU Wien).
        Sabbir M. Rashid is a Ph.D. candidate at Rensselaer Polytechnic Institute (RPI) working with Deborah L. McGuinness.
        Anisa Rula is an Assistant Professor in Computer Science at the Department of Information Engineering, University of Brescia.
        Lukas Schmelzeisen is a PhD candidate working with Steffen Staab in the Analytic Computing group at the University of Stuttgart, Germany.
        Juan Sequeda is the Principal Scientist at data.world, which he joined through the acquisition of Capsenta: a company he founded as a spin-off from his research.
        Steffen Staab holds a Cyber Valley endowed chair for Analytic Computing at the University of Stuttgart, Germany, and a chair for Web and Computer Science at the University of Southampton, UK.
        Antoine Zimmermann is an Associate Professor at Mines Saint-?tienne in France.
        ...

        Sommaire:
        Preface.- Acknowledgments.- Introduction.- Data Graphs.- Schema, Identity, and Context.- Deductive Knowledge.- Inductive Knowledge.- Creation and Enrichment.- Quality Assessment.- Refinement.- Publication.- Knowledge Graphs in Practice.- Conclusions.- Bibliography.- Authors' Biographies.

        Détails de conformité du produit

        Consulter les détails de conformité de ce produit (

        Personne responsable dans l'UE

        )
        Le choixNeuf et occasion
        Minimum5% remboursés
        La sécuritéSatisfait ou remboursé
        Le service clientsÀ votre écoute
        LinkedinFacebookTwitterInstagramYoutubePinterestTiktok
        visavisa
        mastercardmastercard
        klarnaklarna
        paypalpaypal
        floafloa
        americanexpressamericanexpress
        Rakuten Logo
        • Rakuten Kobo
        • Rakuten TV
        • Rakuten Viber
        • Rakuten Viki
        • Plus de services
        • À propos de Rakuten
        Rakuten.com