Propelling SMEs Business Intelligence Through Linked Data Production and Consumption-Reference-Cited by-同舟云学术

Propelling SMEs Business Intelligence Through Linked Data Production and Consumption

Published:2015 Issue: Volume: Page:107-116
ISSN:0302-9743
Container-title:On the Move to Meaningful Internet Systems: OTM 2015 Workshops
language:
Short-container-title:

Author:

Kapourani Barbara,Fotopoulou Eleni,Papaspyros Dimitris,Zafeiropoulos Anastasios,Mouzakitis Spyros,Koussouris Sotirios

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-26138-6_14

Reference8 articles.

1. The Rising Tide of OTC in Europe, Andy Tisman (Senior Principal, IMS Health) (2010)

2. LinDA website: http://linda-project.eu/

3. LinDA Workbench: http://linda.epu.ntua.gr/

4. Davies, S., Hatfield, J., Donaher, C., Zeitz, J.: User Interface Design Considerations for Linked Data Authoring Environments. In: LDOW, CEUR Workshop Proceedings, vol. 628. CEUR-WS.org (2010)

5. Davenport, T.H.: Analytics 3.0. Harward Business Review (2013)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interoperable IoT Devices and Systems for Smart Homes: A Data Analytics Approach to Enhance User Experience and Energy Efficiency;Journal of Digitainability, Realism & Mastery (DREAM);2023-10-30

2. A UML-Style Visual Query Environment Over DBPedia;Metadata and Semantic Research;2022

3. A Survey on Energy Efficiency in Smart Homes and Smart Grids;Energies;2021-11-03

4. Schema-Based Visual Queries over Linked Data Endpoints;Metadata and Semantic Research;2019

5. ViziQuer: A Visual Notation for RDF Data Analysis Queries;Metadata and Semantic Research;2019