Name
Abstract | ||
|---|---|---|
We explain how Apache AsterixDB, an open source Big Data platform, can help reduce the burden of extracting, storing, and exploiting semantics in Big Data. We describe its support for semi-structured data, Data Feeds, and user-defined functions (UDFs). Using these features from AsterixDB, users can easily create customized dataflows for semantic data analyses. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICSC.2018.00063 | 2018 IEEE 12th International Conference on Semantic Computing (ICSC) |
Keywords | Field | DocType |
Databases,Big Data,Semantic data analytics | Data modeling,Information retrieval,Computer science,Feature extraction,Big data,Semantics,Semantic data model | Conference |
ISSN | ISBN | Citations |
2325-6516 | 978-1-5386-4409-6 | 0 |
PageRank | References | Authors |
0.34 | 1 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wail Y. Alkowaileet | 1 | 2 | 1.72 |
| Sattam Alsubaiee | 2 | 85 | 5.74 |
| Michael J. Carey | 3 | 7756 | 2416.03 |
| Chen Li | 4 | 2816 | 196.16 |
| Heri Ramampiaro | 5 | 154 | 20.46 |
| Phanwadee Sinthong | 6 | 0 | 2.03 |
| Xikui Wang | 7 | 6 | 3.12 |