Inproceedings3413: Unterschied zwischen den Versionen
Wa5886 (Diskussion | Beiträge) |
Wa5886 (Diskussion | Beiträge) |
||
Zeile 45: | Zeile 45: | ||
|Forschungsgruppe=Wissensmanagement | |Forschungsgruppe=Wissensmanagement | ||
}} | }} | ||
− | Presentation at conference: [[ | + | Presentation at conference: [[Media:Kaempgen_fios_presentation_v7.pdf]] |
Version vom 2. Juni 2014, 15:42 Uhr
Accepting the XBRL Challenge with Linked Data for Financial Data Integration
Accepting the XBRL Challenge with Linked Data for Financial Data Integration
Published: 2014
Mai
Buchtitel: ESWC 2014 In-Use Track
Verlag: Springer
Referierte Veröffentlichung
Note: (to appear)
BibTeX
Kurzfassung
Analysts spend a disproportionate amount of time with financial data curation before they are able
to compare company performances in an analysis. The Extensible Business Reporting Language (XBRL)
for annotating financial facts is suited for automatic processing to increase information quality
in financial analytics. Still, XBRL does not solve the problem of data integration as required for
a holistic view on companies. Semantic Web technologies promise benefits for financial data
integration, yet, existing literature lacks concrete case studies. In this paper, we present the
Financial Information Observation System (FIOS) that uses Linked Data and multidimensional modelling
based on the RDF Data Cube Vocabulary for accessing and representing relevant financial data.
FIOS fulfils the information seeking mantra of ``overview first, zoom and filter, then details on
demand``, integrates yearly and quarterly balance sheets, daily stock quotes as well as
company and industry background information and helps analysts creating their own
analyses with Excel-like functionality.
Download: Media:Kaempgen in-use-fios eswc 2014 final.pdf
Presentation at conference: Media:Kaempgen_fios_presentation_v7.pdf