The Yin/Yang web: XML syntax and RDF semantics
Proceedings of the 11th international conference on World Wide Web
Interpreting XML Documents via an RDF Schema Ontology
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
Ontology-Based Integration of XML Web Resources
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
An Ontology-Based Framework for XML Semantic Integration
IDEAS '04 Proceedings of the International Database Engineering and Applications Symposium
User interfaces supporting casual data-centric interactions on the web
User interfaces supporting casual data-centric interactions on the web
A Platform for Object-Action Semantic Web Interaction
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
A Semantic Based Collaborative System for the Interoperability of XBRL Accounting Information
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Ontology-based Data Integration for Corporate Sustainability Information Systems
Proceedings of International Conference on Information Integration and Web-based Applications & Services
A Domain-based Approach to Publish Data on the Web
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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One of the main ways of populating the Web of Data is by triplifying existing data sources. One interesting candidate for this approach is data based on the XML Business Reporting Language (XBRL), a standard for business and financial reporting. Many institutions are making available or requiring data in this format, e.g. the US SEC through the EDGAR program. However, XBRL data is loosely interconnected and it is difficult to mix and query it. Our contribution is a translation from XBRL filings to linked data, which we have applied to more than 1000 filings obtaining 3 million triples. The resulting semantic data is easier to integrate and cross query. Moreover, it can be interconnected with the rest of the Web of Data in order to extract its full potential.