MDATA: A New Knowledge Representation Model Theory, Methods and Applications
Yan Jia, Zhaoquan Gu, Aiping Li

Informasi Umum

Kode

22.21.1768

Klasifikasi

004 - Data processing, Computer science

Jenis

Buku - Elektronik (E-Book)

Subjek

Data Processing, Computer Science,

No. Rak

Dilihat

157 kali

Informasi Lainnya

Abstraksi

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.

Koleksi & Sirkulasi

Tersedia 1 dari total 1 Koleksi

Pengarang

Nama	Yan Jia, Zhaoquan Gu, Aiping Li
Jenis	Perorangan
Penyunting
Penerjemah

Penerbit

Nama	Springer Nature Switzerland AG
Kota	Switzerland
Tahun	2021

Sirkulasi

Harga sewa	IDR 0,00
Denda harian	IDR 0,00
Jenis	Non-Sirkulasi

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