Integrating Financial Data Using Semantic Web for Improved Visibility

The Semantic Web technologies and Linked Data principles enable information integration and datainteroperability at syntactic and semantic levels. This will lead to having a large amount of integrated data with increased visibility leading to the discovery and synthesis of knowledge to address finan...

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Main Authors: Ashraf, Jamshaid, Hussain, Omar
Other Authors: CPS
Format: Conference Paper
Published: CPS 2012
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/19419
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author Ashraf, Jamshaid
Hussain, Omar
author2 CPS
author_facet CPS
Ashraf, Jamshaid
Hussain, Omar
author_sort Ashraf, Jamshaid
building Curtin Institutional Repository
collection Online Access
description The Semantic Web technologies and Linked Data principles enable information integration and datainteroperability at syntactic and semantic levels. This will lead to having a large amount of integrated data with increased visibility leading to the discovery and synthesis of knowledge to address financial issues. In this paper, we illustrate the implementation of the Financial Linked Data using the Linked Data principle within the financial domain. The use of XBRL (XML-based business reporting language)by various companies to generate their financial data has enabled us to obtain a standardized and uniform body of financial data. We utilize this format to link business facts to corresponding reports and then publish these data using Linked Data principles. Furthermore, financial data can be interlinked with other relevant datasets by creating semantic relationships. We believe that such linkage between various datasets represents an important step in achieving data transparency which in turn establishes a basis for making profitable decisions in the future.
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institution Curtin University Malaysia
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publishDate 2012
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spelling curtin-20.500.11937-194192017-09-13T15:58:24Z Integrating Financial Data Using Semantic Web for Improved Visibility Ashraf, Jamshaid Hussain, Omar CPS Financial transparency XBRL Linked Data Semantic Web The Semantic Web technologies and Linked Data principles enable information integration and datainteroperability at syntactic and semantic levels. This will lead to having a large amount of integrated data with increased visibility leading to the discovery and synthesis of knowledge to address financial issues. In this paper, we illustrate the implementation of the Financial Linked Data using the Linked Data principle within the financial domain. The use of XBRL (XML-based business reporting language)by various companies to generate their financial data has enabled us to obtain a standardized and uniform body of financial data. We utilize this format to link business facts to corresponding reports and then publish these data using Linked Data principles. Furthermore, financial data can be interlinked with other relevant datasets by creating semantic relationships. We believe that such linkage between various datasets represents an important step in achieving data transparency which in turn establishes a basis for making profitable decisions in the future. 2012 Conference Paper http://hdl.handle.net/20.500.11937/19419 10.1109/SKG.2012.35 CPS restricted
spellingShingle Financial transparency
XBRL
Linked Data
Semantic Web
Ashraf, Jamshaid
Hussain, Omar
Integrating Financial Data Using Semantic Web for Improved Visibility
title Integrating Financial Data Using Semantic Web for Improved Visibility
title_full Integrating Financial Data Using Semantic Web for Improved Visibility
title_fullStr Integrating Financial Data Using Semantic Web for Improved Visibility
title_full_unstemmed Integrating Financial Data Using Semantic Web for Improved Visibility
title_short Integrating Financial Data Using Semantic Web for Improved Visibility
title_sort integrating financial data using semantic web for improved visibility
topic Financial transparency
XBRL
Linked Data
Semantic Web
url http://hdl.handle.net/20.500.11937/19419