TY  - BOOK
AU  - Pan,Jeff Z.
AU  - Vetere,Guido
AU  - Gomez-Perez,Jose Manuel
AU  - Wu,Honghan
ED  - SpringerLink (Online service)
TI  - Exploiting Linked Data and Knowledge Graphs in Large Organisations
SN  - 9783319456546
AV  - Q334-342 
U1  - 006.3 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Artificial intelligence
KW  - Data mining
KW  - Application software
KW  - Management information systems
KW  - Artificial Intelligence
KW  - Data Mining and Knowledge Discovery
KW  - Information Systems Applications (incl. Internet)
KW  - Business Information Systems
N1  - Part I Knowledge Graph Foundations & Architecture -- Part II Constructing, Understanding and Consuming Knowledge Graphs -- Part III Industrial Applications and Successful Stories; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and “standard” data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps. It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions
UR  - https://doi.org/10.1007/978-3-319-45654-6
ER  -