Proceedings of the 6th International Conference on Semantic Systems 2010
DOI: 10.1145/1839707.1839711
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Triplificating and linking XBRL financial data

Abstract: One of the main ways of populating the Web of Data is by triplifying existing data sources.

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Cited by 8 publications
(10 citation statements)
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“…Charles Hoffman also considers the semantic web to have many logical possibilities for the development of information technology so that it can produce more value, see [13]. The results are considered better in providing semantic data for XBRL, compared to previous research conducted by Garcia and Gil which presents a mapping based on structural transformation from XML to RDF (Resource Description Framework) and OWL, see [14]. However, OWL is not a language that can be directly used by business and financial people and not even for IT staff, besides OWL is designed only for special purposes so that the support of tools and expertise is minimal, see [15].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Charles Hoffman also considers the semantic web to have many logical possibilities for the development of information technology so that it can produce more value, see [13]. The results are considered better in providing semantic data for XBRL, compared to previous research conducted by Garcia and Gil which presents a mapping based on structural transformation from XML to RDF (Resource Description Framework) and OWL, see [14]. However, OWL is not a language that can be directly used by business and financial people and not even for IT staff, besides OWL is designed only for special purposes so that the support of tools and expertise is minimal, see [15].…”
Section: Literature Reviewmentioning
confidence: 99%
“…As XML, an XBRL document forms a tree structure ready to be consumed as a full report [3]. The move to data consumption requires the use of dereferenceable URIs to denote facts in a unique way, keeping its context.…”
Section: From Xbrl Data To Linked Datamentioning
confidence: 99%
“…Firstly, full-scale conversion from XML-based XBRL instance and taxonomy documents to genuine Linked Data format (i.e., a graph data model coded in the Resource Description Framework, RDF) is not straightforward. Naive conversion can lead to badly distorted RDF graphs, missing relations, and knowledge loss [4]. Secondly, without properly populated RDF models, the advantage of semantic inferences cannot be fully appreciated.…”
Section: Related Workmentioning
confidence: 99%