MDATA: A New Knowledge Representation Model : Theory, Methods and Applications

Language: English

Published by Springer, 2021

3030715892 / 9783030715892

Series: Book 291 of 300 - Lecture Notes in Computer Science

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Druck auf Anfrage Neuware - Printed after ordering - 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.

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Title
MDATA: A New Knowledge Representation Model : Theory, Methods and Applications
Author
Aiping Li
Publisher
Springer
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030715892
ISBN 13
9783030715892
Item weight
411 grams
Dimensions
235x155x15 mm
Series
Book 291 of 300: Lecture Notes in Computer Science

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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