Overview
- Introduces a new knowledge representation model called MDATA
- Explores some key technologies of the MDATA model
- Written by experts in the field
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12647)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
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Table of contents (14 chapters)
Keywords
- artificial intelligence
- cognitive model
- data mining
- databases
- entity alignment
- entity recognition
- information extraction
- information retrieval
- knowledge fuse
- knowledge graph
- knowledge management
- knowledge representation
- knowledge-based system
- machine learning
- MDATA
- relation extraction
- semantics
- signal processing
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: MDATA: A New Knowledge Representation Model
Book Subtitle: Theory, Methods and Applications
Editors: Yan Jia, Zhaoquan Gu, Aiping Li
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-71590-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-71589-2Published: 07 March 2021
eBook ISBN: 978-3-030-71590-8Published: 06 March 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 255
Number of Illustrations: 23 b/w illustrations
Topics: Information Systems and Communication Service, Artificial Intelligence, Computer Applications, Information Storage and Retrieval