Exploiting Linked Data and Knowledge Graphs in Large Organisations
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-...
| Corporate Author: | SpringerLink (Online service) |
|---|---|
| Other Authors: | Pan, Jeff Z. (Editor), Vetere, Guido (Editor), Gomez-Perez, Jose Manuel (Editor), Wu, Honghan (Editor) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Linked Data and Knowledge Graph 7th Chinese Semantic Web Symposium and 2nd Chinese Web Science Conference, CSWS 2013, Shanghai, China, August 12-16, 2013. Revised Selected Papers /
Published: (2013) -
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 /
Published: (2016) -
Taxonomy Matching Using Background Knowledge Linked Data, Semantic Web and Heterogeneous Repositories /
by: Angermann, Heiko, et al.
Published: (2017) -
Knowledge Discovery, Knowledge Engineering and Knowledge Management 6th International Joint Conference, IC3K 2014, Rome, Italy, October 21-24, 2014, Revised Selected Papers /
Published: (2015) -
Transactions on Large-Scale Data- and Knowledge-Centered Systems II
Published: (2010)