An associative engines based approach supporting collaborative analytics in the Internet of cultural things
详细信息 查看全文
- 作者：Angelo Chianesea ; angchian@unina.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Fiammetta Marullia ; fiammetta.marulli@unina.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Francesco Picciallia ; francesco.piccialli@unina.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Paolo Benedusib ; paolo.benedusi@inteltec.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jai E. Jungc ; j3ung@cau.ac.kr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Cultural Heritage ; Big Data ; Business Intelligence ; Internet of Things ; Semantic technologies ; Social networks
- 刊名：Future Generation Computer Systems
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：66
- 期：Complete
- 页码：187-198
- 全文大小：2793 K
文摘
- •
We propose an integrated approach combining BI, Big Data and Internet of Things (IoT).
- •
We design an information system exploiting Associative in-memory technologies.
- •
We discuss the application of this system for the analysis of museum visitors behavior.
- •
Our approach is suitable for both nonprofit and business oriented organizations.