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Enhancing Big Data with Semantics: The AsterixDB Approach (Poster)
Conference proceeding

Enhancing Big Data with Semantics: The AsterixDB Approach (Poster)

Wail Alkowaileet, Sattam Alsubaiee, Michael J. Carey, Chen Li, Heri Ramampiaro, Phanwadee Sinthong, Xikui Wang and IEEE
2018 IEEE 12TH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC), Vol.2018-, pp.314-315
IEEE International Conference on Semantic Computing
01/01/2018
DOI: https://doi.org/10.1109/ICSC.2018.00063

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Theory & Methods Engineering Engineering, Electrical & Electronic Science & Technology Technology
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.

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