scholarly journals Accepting the XBRL Challenge with Linked Data for Financial Data Integration

2014 ◽  
pp. 595-610 ◽  
Author(s):  
Benedikt Kämpgen ◽  
Tobias Weller ◽  
Sean O’Riain ◽  
Craig Weber ◽  
Andreas Harth
Keyword(s):  
Data Integration ◽  
Linked Data ◽  
Financial Data

scholarly journals Linked Data Driven Information Systems as an Enabler for Integrating Financial Data

2011 ◽  
pp. 239-270 ◽  
Author(s):  
Seán O’Riain ◽  
Andreas Harth ◽  
Edward Curry
Keyword(s):  
Semantic Web ◽  
Data Integration ◽  
Information Integration ◽  
Financial Services ◽  
Linked Data ◽  
Financial Data ◽  
Data Sources ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Multiple Data

With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information providers will increasingly need agile information integration capabilities. Linked Data is a set of technologies and best practices that provide such a level of agility for information integration, access, and use. Current approaches struggle to cope with multiple data sources inclusion in near real-time, and have looked to Semantic Web technologies for assistance with infrastructure access, and dealing with multiple data formats and their vocabularies. This chapter discusses the challenges of financial data integration, provides the component architecture of Web enabled financial data integration and outlines the emergence of a financial ecosystem, based upon existing Web standards usage. Introductions to Semantic Web technologies are given, and the chapter supports this with insight and discussion gathered from multiple financial services use case implementations. Finally, best practice for integrating Web data based on the Linked Data principles and emergent areas are described.

On-The-Fly Academic Linked Data Integration

2017 ◽  
Author(s):  
Mohamed Ragab Moaawad ◽  
Hoda M. O. Mokhtar ◽  
Haytham Tawfeek Al Feel
Keyword(s):  
Data Integration ◽  
Linked Data

scholarly journals Image-Based Literal Node Matching for Linked Data Integration

2014 ◽  
Vol 5 (4) ◽  
pp. 101-112 ◽  
Author(s):  
Takahiro Kawamura ◽  
Akihiko Ohsuga
Keyword(s):  
Data Integration ◽  
Linked Data

Linked Data Vocabulary Management: Infrastructure Support, Data Integration, and Interoperability

2012 ◽  
Vol 24 (2/3) ◽  
pp. 4 ◽  
Author(s):  
Gordon Dunsire ◽  
Corey Harper ◽  
Diane Hillmann ◽  
Jon Phipps
Keyword(s):  
Data Integration ◽  
Linked Data

scholarly journals An E-Commerce Platform for Industrialized Construction Procurement Based on BIM and Linked Data

2018 ◽  
Vol 10 (8) ◽  
pp. 2613
Author(s):  
Dandan He ◽  
Zhongfu Li ◽  
Chunlin Wu ◽  
Xin Ning
Keyword(s):  
Data Integration ◽  
Construction Industry ◽  
Resource Description Framework ◽  
Linked Data ◽  
Query Language ◽  
Rapid Development ◽  
Data Sources ◽  
Product Data ◽  
Description Framework ◽  
Resource Description

Industrialized construction has raised the requirements of procurement methods used in the construction industry. The rapid development of e-commerce offers efficient and effective solutions, however the large number of participants in the construction industry means that the data involved are complex, and problems arise related to volume, heterogeneity, and fragmentation. Thus, the sector lags behind others in the adoption of e-commerce. In particular, data integration has become a barrier preventing further development. Traditional e-commerce platform, which considered data integration for common product data, cannot meet the requirements of construction product data integration. This study aimed to build an information-integrated e-commerce platform for industrialized construction procurement (ICP) to overcome some of the shortcomings existing platforms. We proposed a platform based on Building Information Modelling (BIM) and linked data, taking an innovative approach to data integration. It uses industrialized construction technology to support product standardization, BIM to support procurement process, and linked data to connect different data sources. The platform was validated using a case study. With the development of an e-commerce ontology, industrialized construction component information was extracted from BIM models and converted to Resource Description Framework (RDF) format. Related information from different data sources was also converted to RDF format, and Simple Protocol and Resource Description Framework Query Language (SPARQL) queries were implemented. The platform provides a solution for the development of e-commerce platform in the construction industry.

An alternative architecture for financial data integration

2004 ◽  
Vol 47 (5) ◽  
pp. 37 ◽  
Author(s):  
Alberto Pan ◽  
Ángel Viña
Keyword(s):  
Data Integration ◽  
Financial Data

scholarly journals Multi-Agency Data Integration Project - Linking Data – Improving Lives

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Bindi Kindermann ◽  
Sarah Hinde ◽  
Michael Abbondante
Keyword(s):  
Data Integration ◽  
Linked Data ◽  
Scale Up ◽  
Government Agencies ◽  
Policy Makers ◽  
Population Groups ◽  
Information Models ◽  
Public Data ◽  
Integration Project ◽  
Sector Data

ABSTRACTObjectivesThe Australian Government’s new public sector data management agenda is initiating a national system for integrating public data and opening up access for policy makers and researchers. The Multi-agency Data Integration Project (‘the project’) is central to achieving these goals by bringing together nationally significant population datasets with the aim of streamlining the safe sharing of integrated government data. The project provides policy makers and researchers with safe access to linked, longitudinal information about the delivery of the Australian tax and transfer system, health services, along with rich demographic information. The project has been an essential step towards better enabling the Australian Government and research community to develop evidence-based policy and target services effectively, within a tight fiscal environment. The project has prompted government agencies to find new and more streamlined ways to work collaboratively to share and make best use of public data. ApproachThe first step of the project was to link a 2011 snapshot of four national administrative datasets with the 2011 Census. A cross-agency team of data analysts from five government agencies collaborated to evaluate the datasets and test whether the linked data could be used to answer policy questions. The linkage project included experimentation with different linking methodologies, linking strategies and information models for structuring the linkage. The evaluation tested whether the linked data was representative of key population groups of interest, and explored the validity of the content variables for measuring outcomes of interest. ResultsHigh linkage rates (between 80-95%) were achieved for the two-way linkages, and many population groups of interest were well represented. The work is confirming the value of the linkage for answering policy questions that had been difficult to address using existing approaches. The project developed ways of describing linkage quality to policy users and approaches to addressing linkage bias for different policy uses. ConclusionPublic sector data held by government has the power to improve life course outcomes for Australian people, households and businesses. The project has generated confidence and support for continued development of a central and streamlined integrated data system. It has also generated valuable insights about governance and how to scale up the linkage and dissemination system to support additional datasets and longitudinal data. This will maximise the value and utility of public data to support policy and research, in order to achieve a better understanding of, and deliver better outcomes for, the Australian community.

Sign in / Sign up

Export Citation Format

Share Document