A Study on the Relationship of Semantic Web Components using OLAP
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This paper deals with effective OLAP relationship builder for the software product development using the model Business Intelligence (BI) components. To capture the entity process that always stores the data in the form of open and closed datasets. However, the most interesting On Line Analytical Processing (OLAP) queries can not only be answered on internal data alone, but also external data must also be discovered (most often on the Web), acquired, integrated and (analytically) queried resulting in a new type of OLAP, exploratory OLAP. Here, Semantic Web(SW) Technologies come to the rescue, as they allow semantics (ranging from very simple to very complex) to be specified for web-available resources. SW technologies do not only support capturing the “passive” semantics, but also support active inference
and reasoning on the data. Finally, all the findings are discussed and a number of directions for future research are outlined, including SW support for intelligent Multidimensional(MD) querying, using SW technologies for providing context to data warehouses, and scalability issues. The main objective of this conclusion is that SW technologies are very relevant for the future of BI and OLAP, but that a number of new developments are needed to reach full potential.
Keywords: Business Intelligence, Data Warehousing, OLAP, ETL, Semantic Web.
Citation: *, ( 2018), A Study on the Relationship of Semantic Web Components using OLAP. Scientific Transactions in Environment and Technovation Journal(STET), 12(1): 6-11
Received: 05/23/2017; Accepted: 08/23/2018;
*Correspondence: unknow user, unknow user