Ontology mediated information extraction in financial domain with Mastro System-T

D. Lembo, Yunyao Li, Lucian Popa, Federico Maria Scafoglieri
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引用次数: 6

Abstract

Information extraction (IE) refers to the task of turning text documents into a structured form, in order to make the information contained therein automatically processable. Ontology Mediated Information Extraction (OMIE) is a new paradigm for IE that seeks to exploit the semantic knowledge expressed in ontologies to improve query answering over unstructured data (properly raw text). In this paper we present Mastro System-T, an OMIE tool born from a joint collaboration between the University of Rome "La Sapienza" and IBM Research Almaden and its first application in a financial domain, namely to facilitate the access to and the sharing of data extracted from the EDGAR system.
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基于master System-T的金融领域本体信息提取
信息抽取(Information extraction, IE)是指将文本文档转化为结构化形式,使其中所包含的信息能够自动处理的任务。本体中介信息提取(OMIE)是IE的一种新范式,它寻求利用本体中表达的语义知识来改进对非结构化数据(适当的原始文本)的查询回答。在本文中,我们介绍了master system - t,这是一种OMIE工具,诞生于罗马大学“La Sapienza”和IBM阿尔马登研究所之间的联合合作,并首次在金融领域应用,即促进从EDGAR系统中提取的数据的访问和共享。
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Leveraging the explainability of associative classifiers to support quantitative stock trading Ontology mediated information extraction in financial domain with Mastro System-T Price series cross-correlation analysis to enhance the diversification of itemset-based stock portfolios Proceedings of the Sixth International Workshop on Data Science for Macro-Modeling
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