Article3102: Unterschied zwischen den Versionen
Bka (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „{{Publikation Erster Autor |ErsterAutorNachname=Kämpgen |ErsterAutorVorname=Benedikt }} {{Publikation Author |Rank=2 |Author=Tobias Weller }} {{Publikation Autho…“) |
Bka (Diskussion | Beiträge) |
||
Zeile 38: | Zeile 38: | ||
based on the RDF Data Cube Vocabulary for accessing and representing relevant financial data. | 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 | FIOS fulfils the information seeking mantra of ``overview first, zoom and filter, then details on | ||
− | demand | + | demand``, integrates yearly and quarterly balance sheets, daily stock quotes as well as |
company and industry background information and helps analysts creating their own | company and industry background information and helps analysts creating their own | ||
analyses with Excel-like functionality. | analyses with Excel-like functionality. | ||
− | |Download=In-use-fios eswc 2014 final.pdf, | + | |Download=In-use-fios eswc 2014 final.pdf, |
|Projekt=SFB/Transregio 125 | |Projekt=SFB/Transregio 125 | ||
|Forschungsgruppe=Wissensmanagement | |Forschungsgruppe=Wissensmanagement | ||
}} | }} |
Version vom 24. März 2014, 16:39 Uhr
Accepting the XBRL Challenge with Linked Data for Financial Data Integration
Accepting the XBRL Challenge with Linked Data for Financial Data Integration
Veröffentlicht: 2014 Mai
Journal: ESWC 2013
Verlag: Springer
Bemerkung: (to appear)
Referierte Veröffentlichung
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:In-use-fios eswc 2014 final.pdf