A NoSQL approach for aspect mining of cultural heritage streaming data
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Aspect mining constitutes an essential part of delivering concise and, perhaps more importantly, accurately tailored cultural content. With the advent of social media, there is a data abundance so that analytics can be reliably designed for ultimately providing valuable information towards a given product or service. Naturally representing and efficiently processing a large number of opinions can be implemented with the use of streaming technologies. Big data analytics are especially important in the case of cultural content management where reviews and opinions may be analyzed in order to extract meaningful representations. In this paper, a NoSQL database method for aspect mining of a cultural heritage scenario by taking advantage of Apache Spark streaming architecture is presented.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) |
| Publisher | IEEE |
| Number of pages | 4 |
| ISBN (Electronic) | 978-1-7281-4959-2 |
| ISBN (Print) | 978-1-7281-4960-8 |
| DOIs | |
| Publication status | Published - 14 Nov 2019 |
| Event | International Conference on Information, Intelligence, Systems and Applications - Patras, Greece Duration: 15 Jul 2019 → 17 Jul 2019 Conference number: 10th https://ieeexplore.ieee.org/xpl/conhome/8893976/proceeding |
Conference
| Conference | International Conference on Information, Intelligence, Systems and Applications |
|---|---|
| Abbreviated title | IISA |
| Country | Greece |
| City | Patras |
| Period | 15/07/19 → 17/07/19 |
| Internet address |
Documents
- A NoSQL Approach for Aspect Mining of Cultural Heritage Streaming Data
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Accepted author manuscript (Post-print), 236 KB, PDF document
Related information
ID: 17114077
