2024-03-29T06:56:50Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/2933
2021-12-13T01:05:31Z
1582963342780:1596102355557
user-uit
Building Ontology for Big Data in Column-oriented NoSQL Database
Nang Kham Soe
Tin Tin Yee
Ei Chaw Htoon
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.
2018-11-02
http://hdl.handle.net/20.500.12678/0000002933
https://meral.edu.mm/records/2933