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Personal Knowledge Graphs (Pkgs): Methodology, Tools and Applications

Contributor(s): Tiwari, Sanju (Editor), Scharffe, François (Editor), Ortiz-Rodríguez, Fernando (Editor), Gaur, Manas (Editor)

ISBN: 9781839537011

Publisher: Institution of Engineering & Technology

Hardcover
$155.00
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Pub Date: November 21, 2023

Dewey: 005.57

LCCN: 2023514152

Lexile Code: 0000

Features: Bibliography, Illustrated, Index

Target Age Group: NA to NA

Physical Info: 0.81" H x 9.21" L x 6.14" W ( 1.50 lbs) 360 pages

Series: Computing and Networks

Descriptions, Reviews, etc.

Description:

Personal knowledge graphs (PKGs) support the development of innovative digitalized personalized applications, which keep users updated, help them manage their day-to-day activities and facilitate informed decisions. This book systematically explores the global advanced research around PKGs from methodologies to tools and applications.

Brief description:

Sanju Tiwari is a senior researcher at UAT Mexico. She is an experienced researcher and academician with 15 years of experience in computer science field. She is DAAD Post-Doc-Net AI fellow for 2021 and visited different German Universities under the DAAD fellowship. She is a mentor of Google Summer of Code (GSoC 2022-23) at DBpedia and a member of InfAI, Leipzig University, Germany. She is also working as a curator of ORKG Grant Program, at TIB Hannover, Germany.

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