Collect Meaningful Information about Stock Markets from the Web

Events represent a significant source of information on the web; they deliver information about events that occur around the world in all subjects and areas. These events can be collected and organized to provide valuable and useful information for decision makers, researchers, as well as for any pe...

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Main Authors: Saleem Abuleil, Khalid Alsamara
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2015-02-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
Online Access:http://www.iiisci.org/Journal/CV$/sci/pdfs/ZA957QK15.pdf
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spelling doaj-68a5c5560dea49738a9e0c774435b9622020-11-25T00:12:16ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242015-02-011318490Collect Meaningful Information about Stock Markets from the WebSaleem Abuleil0Khalid Alsamara1 Events represent a significant source of information on the web; they deliver information about events that occur around the world in all subjects and areas. These events can be collected and organized to provide valuable and useful information for decision makers, researchers, as well as for any person seeking knowledge. In this paper, we discuss an ongoing research to target stock markets domain to observe and record changes (events) when they happen, collect them, understand the meaning of each one of them, and organize the information along with meaning in a well-structured format. By using Semantic Role Labeling (SRL) technique, we have identified four factors for each event in this paper: verb of action and three roles associated with it, entity name, attribute, and attribute value. We have generated a set of rules and techniques to support our approach to analyze and understand the meaning of the events that take place in stock markets.http://www.iiisci.org/Journal/CV$/sci/pdfs/ZA957QK15.pdf Event Extraction and UnderstandingSemantic Role LabelingStock MarketArabic Language
collection DOAJ
language English
format Article
sources DOAJ
author Saleem Abuleil
Khalid Alsamara
spellingShingle Saleem Abuleil
Khalid Alsamara
Collect Meaningful Information about Stock Markets from the Web
Journal of Systemics, Cybernetics and Informatics
Event Extraction and Understanding
Semantic Role Labeling
Stock Market
Arabic Language
author_facet Saleem Abuleil
Khalid Alsamara
author_sort Saleem Abuleil
title Collect Meaningful Information about Stock Markets from the Web
title_short Collect Meaningful Information about Stock Markets from the Web
title_full Collect Meaningful Information about Stock Markets from the Web
title_fullStr Collect Meaningful Information about Stock Markets from the Web
title_full_unstemmed Collect Meaningful Information about Stock Markets from the Web
title_sort collect meaningful information about stock markets from the web
publisher International Institute of Informatics and Cybernetics
series Journal of Systemics, Cybernetics and Informatics
issn 1690-4524
publishDate 2015-02-01
description Events represent a significant source of information on the web; they deliver information about events that occur around the world in all subjects and areas. These events can be collected and organized to provide valuable and useful information for decision makers, researchers, as well as for any person seeking knowledge. In this paper, we discuss an ongoing research to target stock markets domain to observe and record changes (events) when they happen, collect them, understand the meaning of each one of them, and organize the information along with meaning in a well-structured format. By using Semantic Role Labeling (SRL) technique, we have identified four factors for each event in this paper: verb of action and three roles associated with it, entity name, attribute, and attribute value. We have generated a set of rules and techniques to support our approach to analyze and understand the meaning of the events that take place in stock markets.
topic Event Extraction and Understanding
Semantic Role Labeling
Stock Market
Arabic Language
url http://www.iiisci.org/Journal/CV$/sci/pdfs/ZA957QK15.pdf
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