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Exploiting Linked Data And Knowledge Graphs In Large Organisations Pdf

exploiting linked data and knowledge graphs in large organisations pdf

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Exploiting Linked Data and Knowledge Graphs in Large Organisations (E-Book, PDF)

Du kanske gillar. Ladda ned. Spara som favorit. Skickas inom vardagar. This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises.

Exploiting Linked Data and Knowledge Graphs in Large Organisations 2017

Jump to navigation. Die Zugangsdaten sind dabei dieselben wie in diesem Webshop. Sie finden die entsprechenden Informationen in der Detailansicht des jeweiligen Titels. Umfang: 7. Erschienen am It identifies the gaps between the requirements of enterprise knowledge consumption and standard data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps.

It seems that you're in Germany. We have a dedicated site for Germany. Editors: Pan , J. This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs.


Exploiting Linked Data and Knowledge Graphs in Large Organisations DRM-​free; Included format: PDF; ebooks can be used on all reading devices.


Exploiting linked data and knowledge graphs in large organisations

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Show full item record. Pan, Jeff Z. Vetere, Guido.

Exploiting Linked Data and Knowledge Graphs in Large Organisations

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Jeff Z. Pan is a Reader Professor at University of Aberdeen. He is well known for his work on knowledge construction, reasoning and exploitation. He also leads Senso Comune www. His expertise is on supporting users in creating, sharing, and accessing knowledge. His current research focus is on annotating, analysing and searching large scale healthcare data by utilising Knowledge Graph techniques.

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Alexopoulos , S. Denaux , Y. Ren, B. Villazon-Terrazas, P. Alexopoulos , A. Faraotti, H.


Boris Villazon-Terrazas, Nuria Garcia-Santa, Yuan Ren, Kavitha Srinivas, Mariano Rodriguez-Muro, Panos Alexopoulos et al. Pages PDF · Construction.


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About the Editors: Jeff Z. Pan is a Reader Professor at University of Aberdeen. He is well known for his work on knowledge construction, reasoning and exploitation. He also leads Senso Comune www. His expertise is on supporting users in creating, sharing, and accessing knowledge.

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