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Discovering and Linking Financial Data on the Web

Authors:
José Luis Sánchez-Cervantes
Gandhi S. Hernández-Chan
Mateusz Radzimski
Juan Miguel Gómez-Berbís
Ángel García-Crespo

Keywords: Financial data; Semantics; Linked Open Data; FLORA; SILK framework

Abstract:
The constant publishing of large volumes of financial information by various business sector organizations through its financial statements is a fact that must be exploited by using semantic technologies. This paper describes the use of Linked Data to generate a financial dataset that is part of the ongoing work of the FLORA (Financial Linked Open Data Reasoning and Management for Web Science) project. Furthermore, we describe a process to discover other relevant links within the LOD cloud which can be related to FLORA dataset in order to provide a financial knowledgebase, which might be useful for: data analysis to support decision making, generating predictions or performing own financial discoveries to mention a few. However, the results of experiments performed, show that the coverage of the financial domain of public companies is rather small and ambiguous to link them to the FLORA dataset. Thus, is necessary involve more data as CIK (Central Index Key) or ticker symbol of the companies to objective of improve the results quality and implement techniques for disambiguation and manual verification.

Pages: 36 to 40

Copyright: Copyright (c) IARIA, 2013

Publication date: September 29, 2013

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-295-0

Location: Porto, Portugal

Dates: from September 29, 2013 to October 3, 2013