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SBI: a semantic framework to support business intelligence

Published: 27 October 2008 Publication History

Abstract

Despite the importance of analytical tools to organizations, they still lack the inference power needed to solve the requests of decision makers in a flexible and smarter way. We present a framework called SBI -- Semantic Business Intelligence - in which we apply ontologies on the description of business rules and concepts in order to support semantic-analytical functionalities that extend traditional OLAP operations. Such approach enables developers to customize BI solutions according to organizations' specific analytical requirements and allows developers align BI solutions to the latest business analytic requirements. We present how semantic inference is supported using batch and on-the-fly based strategies. In addition, we show how such semantic infrastructure makes the access to heterogeneous data sources transparent. Finally, we illustrate the benefits of our approach through Extracta, an analytical tool that relies on SBI ontologies and modules. Extracta enables an easy access to information and provides novel exploratory funcionalities based on semantics towards faster and smarter decisions.

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    cover image ACM Other conferences
    OBI '08: Proceedings of the first international workshop on Ontology-supported business intelligence
    October 2008
    95 pages
    ISBN:9781605582191
    DOI:10.1145/1452567
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 27 October 2008

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    Author Tags

    1. OLAP
    2. business intelligence
    3. heterogeneous data sources
    4. ontology

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    • (2018)Using Semantic Web technologies in the development of data warehouses: A systematic mappingWIREs Data Mining and Knowledge Discovery10.1002/widm.12939:3Online publication date: 7-Dec-2018
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