Exploiting Linked Data and Knowledge Graphs in Large Organisations by Jeff Z. Pa

Description: Exploiting Linked Data and Knowledge Graphs in Large Organisations by Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez, Honghan Wu Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. 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 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. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions. Author Biography About the Editors:Jeff Z. Pan is a Reader (Professor) at University of Aberdeen. He is the Chief Scientist of the EC Marie Curie K-Drive project and has edited many books/proceedings on Semantic Technologies and Linked Data. He is well known for his work on knowledge construction, reasoning and exploitation. Guido Vetere leads the IBM Center for Advanced Studies Italy. He has led/worked in many research and development projects in KR, NLP and ontology. He also leads Senso Comune , a collaborative initiative for building an open KB of the Italian language.Jose Manuel Gomez-Perez is the Director R&D at Expert System Iberia (ESI). His expertise is on supporting users in creating, sharing, and accessing knowledge. He has a long experience in European R&D projects, privately-funded technology transfer activities and R&D projects.Honghan Wu is a data scientist in NIHR Maudsley Biomedical Research Centre at Kings College London. His current research focus is on annotating, analysing and searching large scale healthcare data by utilising Knowledge Graph techniques. Details ISBN 3319456520 ISBN-13 9783319456522 Title Exploiting Linked Data and Knowledge Graphs in Large Organisations Author Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez, Honghan Wu Format Hardcover Year 2017 Pages 266 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:140490025; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 231.55 USD

Location: Fairfield, Ohio

End Time: 2025-02-04T04:05:27.000Z

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ISBN-13: 9783319456522

Book Title: Exploiting Linked Data and Knowledge Graphs in Large Organisation

Number of Pages: Xviii, 266 Pages

Publication Name: Exploiting Linked Data and Knowledge Graphs for Large Organisations

Language: English

Publisher: Springer International Publishing A&G

Subject: Computer Graphics, Intelligence (Ai) & Semantics, Probability & Statistics / General, Databases / Data Mining

Publication Year: 2017

Type: Textbook

Item Weight: 194.1 Oz

Subject Area: Mathematics, Computers

Author: Guido Vetere

Item Length: 9.3 in

Item Width: 6.1 in

Format: Hardcover