Academic journal article Informatica Economica

Semantic Business Intelligence - a New Generation of Business Intelligence

Academic journal article Informatica Economica

Semantic Business Intelligence - a New Generation of Business Intelligence

Article excerpt

Business Intelligence Solutions represents applications used by companies to manage process and analyze data to provide substantiated decision. In the context of Semantic Web develop-ment trend is to integrate semantic unstructured data, making business intelligence solutions to be redesigned in such a manner that can analyze, process and synthesize, in addition to traditional data and data integrated with semantic another form and structure. This invaria-bly leads appearance of new BI solution, called Semantic Business Intelligence.

Keywords: Business Intelligence, Semantic Business Intelligence, Semantic Web, Semantic In-tegration, Unstructured Data


The transition from social web (web 2.0) to the semantic web (web 3.0) opens new doors in terms of semantic data integration, one of the consequences being the appear-ance of a new type of BI solutions called Semantic Business Intelligence (SBI).

This research aims to respond to the question "What is the difference between Semantic Business Intelligence and traditional solu-tions of Business Intelligence?"; moreover, undertakes to demonstrate that SBI is not a fancy term or a marketing strategy but a new generation of Business Intelligence solutions. The importance of this research approach is justified by the fact that all the Internet users begin to be involved, consciously or not, in phenomenon of semantic integration, a phe-nomenon that will be felt in all applications.

2 Research Methodology

This study starts from observing the impact it has the Semantic Web to data and application that produce, manage, process and analyze this data, such as Business Intelligence. Its goal is to define and analyze the emergence of a new generation of business intelligence in the context of web transition from version 2.0 to version 3.0.

The hypothesis we propose to research is: "Semantic Business Intelligence is a new generation of Business Intelligence".

Hypothesis' construction was based on use of the difference method. This method explains a phenomenon depending on differences that occur when certain factors are varied [30] in the case differences that arise between SBI and BI due to the impact of the Semantic Web. Also, in construction of hypothesis was used inductive inferring. Thus, the research will have an inductive approach in that it will be analyzed on two applications on the as-sumption that will be generalized.

Hypothesis testing will be done using quali-tative analysis, comparative functionalist type [31]. Whereas deterministic analyzes the influence of a situational context, in this case the introduction of new technologies in cer-tain applications. The appearance of a new generation of Business Intelligence generi-cally called Semantic Business Intelligence based on the Semantic Web specific technol-ogies will confirm the proposed hypothesis.

3 Related works

Even if it occurred in 1958 [5], Business In-telligence begin to become known since 1989, when Howard Dresner defines it: "an umbrella concept that describes a set of con-cepts and methods to improve business deci-sions by assist systems use decisions based on facts " [24].

In our vision, Business Intelligence is a set of economic applications used for analyze data from companies in order to transform them into information that will substantiate the de-cisions taken by managers.

Along the time, attempting to keep up with technology, Business Intelligence passed through several phases, becoming from oper-ational BI real-time BI [26], adding socializa-tion modules [6], and expanding its function-ality to be used by mobile phones, turning to Mobile BI [1] and now by adding new se-mantic technologies becomes Semantic Business Intelligence.

Given that the subject addressed is a relative-ly new, literature is rather poor in this area of Semantic Business Intelligence. Internation-ally, the field began to attract the interest of researchers since 2006 due to research pro-jects to find viable solutions for the integra-tion of semantic technologies in Business In-telligence solutions. …

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