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

Copyright © 2012. 32 pages.
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DOI: 10.4018/978-1-61350-162-7.ch010, ISBN13: 9781613501627, ISBN10: 1613501625, EISBN13: 9781613501634
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MLA

O’Riain, Seán, Andreas Harth and Edward Curry. "Linked Data Driven Information Systems as an Enabler for Integrating Financial Data." Information Systems for Global Financial Markets: Emerging Developments and Effects. IGI Global, 2012. 239-270. Web. 23 May. 2012. doi:10.4018/978-1-61350-162-7.ch010

APA

O’Riain, S., Harth, A., & Curry, E. (2012). Linked Data Driven Information Systems as an Enabler for Integrating Financial Data. In A. Yap (Ed.), Information Systems for Global Financial Markets: Emerging Developments and Effects (pp. 239-270). Hershey, PA: Business Science Reference. doi:10.4018/978-1-61350-162-7.ch010

Chicago

O’Riain, Seán, Andreas Harth and Edward Curry. "Linked Data Driven Information Systems as an Enabler for Integrating Financial Data." In Information Systems for Global Financial Markets: Emerging Developments and Effects, ed. Alexander Y. Yap, 239-270 (2012), accessed May 23, 2012. doi:10.4018/978-1-61350-162-7.ch010

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Abstract

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.
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Complete Chapter List

1.
Information Technology and Financial Markets: Risk, Volatility and the Quants (pages 1-18)
Donald Crooks (Wagner College, USA), John Slayton (Trust Company of the South, USA), John Burbridge (Elon University, USA) Sample PDF | More details...
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Trading Anytime Anywhere with Ubiquitous Financial Information Systems (pages 19-36)
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The Market Fraction Hypothesis under Different Genetic Programming Algorithms (pages 37-54)
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Algorithmic Trading Strategy Making: Algorithms and Applications (pages 55-72)
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Technology Bundling: Innovation for Online Brokerage Services (pages 73-95)
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Grid Super-Computable General Equilibrium Models (pages 177-238)
Joe Kelley (Humboldt State University, USA) Sample PDF | More details...
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Linked Data Driven Information Systems as an Enabler for Integrating Financial Data (pages 239-270)
Seán O’Riain (National University of Ireland Galway, Ireland), Andreas Harth (Karlsruhe Institute of Technology (KIT), Germany), Edward Curry (National University of Ireland Galway, Ireland) Sample PDF | More details...
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