My Account Log in

1 option

Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data : First China Conference, CCKS 2016, Beijing, China, September 19-22, 2016, Revised Selected Papers / edited by Huajun Chen, Heng Ji, Le Sun, Haixun Wang, Tieyun Qian, Tong Ruan.

SpringerLink Books Computer Science (2011-2024) Available online

View online
Format:
Book
Contributor:
Chen, Huajun, editor.
Ji, Heng, editor.
Sun, Le, editor.
Wang, Haixun, editor.
Qian, Tieyun, editor.
Ruan, Tong, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Communications in computer and information science 1865-0929 ; 650.
Communications in Computer and Information Science, 1865-0929 ; 650
Language:
English
Subjects (All):
Artificial intelligence.
Data mining.
Application software.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Information Systems Applications (incl. Internet).
Local Subjects:
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Information Systems Applications (incl. Internet).
Physical Description:
1 online resource (XIII, 250 pages) : 50 illustrations.
Edition:
First edition 2016.
Contained In:
Springer eBooks
Place of Publication:
Singapore : Springer Singapore : Imprint: Springer, 2016.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016. The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on knowledge representation and learning; knowledge graph construction and information extraction; linked data and knowledge-based systems; shared tasks.
Contents:
Knowledge representation and learning
Knowledge graph construction and information extraction
Linked data and knowledge-based systems
Shared tasks.
Other Format:
Printed edition:
ISBN:
978-981-10-3168-7
9789811031687
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account