Related Experiment Video
Updated: May 2, 2026

Analysis of SEC-SAXS data via EFA deconvolution and Scatter
Published on: January 28, 2021
Using data crawlers and semantic Web to build financial XBRL data generators: the SONAR extension approach
Miguel Ángel Rodríguez-García1, Alejandro Rodríguez-González2, Ricardo Colomo-Palacios3
1Department of Informatics and Systems, University of Murcia, Espinardo, 30100 Murcia, Spain.
Abstract:
Precise, reliable and real-time financial information is critical for added-value financial services after the economic turmoil from which markets are still struggling to recover. Since the Web has become the most significant data source, intelligent crawlers based on Semantic Technologies have become trailblazers in the search of knowledge combining natural language processing and ontology engineering techniques. In this paper, we present the SONAR extension approach, which will leverage the potential of knowledge representation by extracting, managing, and turning scarce and disperse financial information into well-classified, structured, and widely used XBRL format-oriented knowledge, strongly supported by a proof-of-concept implementation and a thorough evaluation of the benefits of the approach.
Related Concept Videos
Scanning Electron Microscopy
Fundamental Principles
Accelerated...
X-ray Diffraction of Biological Samples
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are scattered by the electron clouds around the sample atoms. The X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal...
Extraction: Advanced Methods
Mass Analyzers: Overview
X-ray Imaging
