Data warehouse (DW) is a group of combined databases planned to maintenance executive decision-making besides problem-solving purposes. The semantic multi attribute model focoused on similarity contained in the data warehouse, in DW iscritical for the certain group of user. The semantic access right in viewing the dimensional schema should be properly specified according to the level of privilege. A set of security controls has been established to protect this crucial asset. It holds both highly comprehensive thenreducedmodern data connecting to numerousgroups, topics, or areas. Semantic Similarity Actions is one of the latestknow-hows that giveentree to various and isolatedmaterialfoundationsattractive the decision-makingcompetences of the group. The Semantic Similarity Measures provides an efficient storing mechanism which can identify the information of interest to the organization. The data repository contains information from multiple sources and presents it in an integrated manner to the end user. In this Semantic Similarity used context the filtration of data is realized previously the data warehouse.
R. Sundara Bharathi, Dr. R. Mala (2017); Semantic Measure Model Based Educational Development System for Using Similarity Attribute in Data Warehouse System;
Int J Sci Res Publ 7(5) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0517.php?rp=P656370