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Using Semantic Web Technologies for Exploratory OLAP: A Survey
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Using Semantic Web Technologies for Exploratory OLAP: A Survey

Category : Data Mining


Sub Category : DOTNET


Project Code : ITDDM06


Project Abstract

USING SEMANTIC WEB TECHNOLOGIES

FOR EXPLORATORY OLAP: A SURVEY

 

ABSTRACT

 The paper first presents a characterization of DW/OLAP environments, followed by an introduction to the relevant SW foundation concepts.  It describes the relationship of multidimensional models and SW Technologies, including the relationship between MD models and SW formalisms. The paper goes on to survey the use of SW technologies for data modeling and data provisioning, including semantic data annotation and semantic-aware extract, transform, and load processes. All the findings are discussed and a number of directions for future research are outlined, including SW support for intelligent MD querying, using SW technologies for providing context to data warehouses, and scalability issues. In this paper describes the convergence of some of the most influential technologies in the last few years, namely data warehousing, on-line analytical processing, and the Semantic Web (SW). OLAP is used by enterprises to derive important business-critical knowledge from data inside the company. The most interesting OLAP queries can no longer be answered on internal data alone, external data must also be discovered, acquired, integrated, and queried, resulting in a new type of OLAP, exploratory OLAP. When using external data, an important issue knows the precise semantics of the data. SW technologies come to the rescue, as they allow semantics 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.

 

 

 

 

 

 

 

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

Most of the existing work for bringing together OLAP and SW technologies focuses on schema design issues. But our analysis work still unresolved challenges. The common characteristic of the existing approaches is that these can deal with unstructured data.

A first challenge involves the automatic derivation of such mappings. Research on other, but related fields, like schema mappings and data exchange has provided very useful results that have not been exploited yet by research on DW design.

PROPOSED CONCEPT:-

We propose a series of criteria that aims to capture the main aspects of emerging DW/OLAP systems. The criteria aim to reflect the main components of a traditional DW/OLAP system, and how these components are evolving to cover the new requirements posed by the new scenarios.

The resulting categorization schema aims to identify the commonalities and differences of emerging approaches in terms of the changes they propose with respect to the traditional components of DW/OLAP system.

EXISTING TECHNIQUE:-

OLAP/SW

PROPOSED TECHNIQUE:-

OLAP/DW

TECHNIQUE DEFNITION:-

SW technology is aimed at providing the necessary representation languages and tools to express semantic based Meta data.

TECHNIQUE DEFNITION:-

OLAP technology is aimed at gathering, transforming and summarizing available data from existing sources to generate analytical information suitable for decision-making tasks.

DRAWBACKS:-

In analysis work still unresolved challenges.

The ontology mapping is provided.

ADVANTAGES:-

In propose criteria to identify and solved challenges.

The orthogonal process is provided.

 
 
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