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MDATA: A New Knowledge Representation Model - Theory, Methods and Applications (Paperback, 1st ed. 2021) Loot Price: R2,087
Discovery Miles 20 870
MDATA: A New Knowledge Representation Model - Theory, Methods and Applications (Paperback, 1st ed. 2021): Yan Jia, Zhaoquan Gu,...

MDATA: A New Knowledge Representation Model - Theory, Methods and Applications (Paperback, 1st ed. 2021)

Yan Jia, Zhaoquan Gu, Aiping Li

Series: Information Systems and Applications, incl. Internet/Web, and HCI, 12647

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Knowledge representation is an important task in understanding how humans think and learn. Although many representation models or cognitive models have been proposed, such as expert systems or knowledge graphs, they cannot represent procedural knowledge, i.e., dynamic knowledge, in an efficient way.This book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent Analysis). By modifying the representation of entities and relations in knowledge graphs, dynamic knowledge can be efficiently described with temporal and spatial characteristics. The MDATA model can be regarded as a high-level temporal and spatial knowledge graph model, which has strong capabilities for knowledge representation. This book introduces some key technologies in the MDATA model, such as entity recognition, relation extraction, entity alignment, and knowledge reasoning with spatiotemporal factors. The MDATA model can be applied in many critical applications and this book introduces some typical examples, such as network attack detection, social network analysis, and epidemic assessment. The MDATA model should be of interest to readers from many research fields, such as database, cyberspace security, and social network, as the need for the knowledge representation arises naturally in many practical scenarios.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Information Systems and Applications, incl. Internet/Web, and HCI, 12647
Release date: March 2021
First published: 2021
Editors: Yan Jia • Zhaoquan Gu • Aiping Li
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 255
Edition: 1st ed. 2021
ISBN-13: 978-3-03-071589-2
Categories: Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Computer communications & networking > General
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-071589-2
Barcode: 9783030715892

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