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Building Ontology for Big Data in Column-oriented NoSQL Database
http://hdl.handle.net/20.500.12678/0000006299
http://hdl.handle.net/20.500.12678/0000006299c514d536-a8a3-4c7e-ba26-8e39ecb9d18e
c53f5f7a-4458-4c01-888d-b8bad496d773
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Building Ontology for Big Data in Column-oriented NoSQL Database.pdf (1.2 Mb)
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© 2018 ICAIT
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Building Ontology for Big Data in Column-oriented NoSQL Database | |||||
Language | en | |||||
Publication date | 2018-11-02 | |||||
Authors | ||||||
Nang Kham Soe | ||||||
Tin Tin Yee | ||||||
Ei Chaw Htoon | ||||||
Description | ||||||
Big data are usually integrated data from different sources in a structured, semi-structured and unstructured data collection. NoSQL databases are in the base of big data storage. These databases suffer from lack of semantics since they are able to handle unstructured data. In order to solve that issue, an ontology-based representation of the information stored in NoSQL databases is highly needed. This paper proposes an approach to construct an ontological form of big data stored in column-oriented NoSQL database namely Cassandra. The approach defines mapping rules and builds ontology by applying these rules. |
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Keywords | ||||||
Ontology, Semantic Web, Big data, NoSQL, Cassandra | ||||||
Conference papers | ||||||
ICAIT-2018 | ||||||
1-2 November, 2018 | ||||||
2nd International Conference on Advanced Information Technologies | ||||||
Yangon, Myanmar | ||||||
Database and Big Data Analytics | ||||||
https://www.uit.edu.mm/icait-2018/ |