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| − | {{Publikation Erster Autor
| + | #REDIRECT [[Inproceedings3413]] |
| − | |ErsterAutorNachname=Kämpgen
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| − | |ErsterAutorVorname=Benedikt
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| − | {{Publikation Author
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| − | |Rank=2
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| − | |Author=Tobias Weller
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| − | {{Publikation Author
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| − | |Rank=3
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| − | |Author=Sean O'Riain
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| − | {{Publikation Author
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| − | |Rank=4
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| − | |Author=Craig Weber
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| − | {{Publikation Author
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| − | |Rank=5
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| − | |Author=Andreas Harth
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| − | {{Article
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| − | |Referiert=True
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| − | |Title=Accepting the XBRL Challenge with Linked Data for Financial Data Integration
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| − | |Year=2014
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| − | |Month=Mai
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| − | |Journal=ESWC 2013
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| − | |Publisher=Springer
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| − | |Note=(to appear)
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| − | }}
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| − | {{Publikation Details
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| − | |Abstract=Analysts spend a disproportionate amount of time with financial data curation before they are able
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| − | to compare company performances in an analysis. The Extensible Business Reporting Language (XBRL)
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| − | for annotating financial facts is suited for automatic processing to increase information quality
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| − | in financial analytics. Still, XBRL does not solve the problem of data integration as required for
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| − | a holistic view on companies. Semantic Web technologies promise benefits for financial data
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| − | integration, yet, existing literature lacks concrete case studies. In this paper, we present the
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| − | Financial Information Observation System (FIOS) that uses Linked Data and multidimensional modelling
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| − | based on the RDF Data Cube Vocabulary for accessing and representing relevant financial data.
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| − | FIOS fulfils the information seeking mantra of ``overview first, zoom and filter, then details on
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| − | demand``, integrates yearly and quarterly balance sheets, daily stock quotes as well as
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| − | company and industry background information and helps analysts creating their own
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| − | analyses with Excel-like functionality.
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| − | |Download=In-use-fios eswc 2014 final.pdf,
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| − | |Projekt=SFB/Transregio 125
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| − | |Forschungsgruppe=Wissensmanagement
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| − | }}
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