Semi-automatic financial events discovery based on lexico-semantic patterns

被引：36

作者：

Borsje J. ^{[1
]}

Hogenboom F. ^{[2
]}

Frasincar F. ^{[2
]}

机构：

[1] SSC-I, National Agency of Correctional Institutions, Dutch Ministry of Justice, NL-2800 AW Gouda

[2] Econometric Institute, Erasmus University Rotterdam, NL-3000 DR Rotterdam

来源：

International Journal of Web Engineering and Technology | 2010年 / 6卷 / 02期

关键词：

Financial events; Lexico-semantic patterns; Ontologies; Update actions;

D O I：

10.1504/IJWET.2010.038242

中图分类号：

学科分类号：

摘要：

Due to the market sensitivity to emerging news, investors on financial markets need to continuously monitor financial events when deciding on buying and selling equities. We propose the use of lexico-semantic patterns for financial event extraction from RSS news feeds. These patterns use financial ontologies, leveraging the commonly used lexico-syntactic patterns to a higher abstraction level, thereby enabling lexico-semantic patterns to identify more and more precisely events than lexico-syntactic patterns from text. We have developed rules based on lexico-semantic patterns used to find events, and semantic actions that allow for updating the domain ontology with the effects of the discovered events. Both the lexico-semantic patterns and the semantic actions make use of the triple paradigm that fosters their easy construction and understanding by the user. Based on precision, recall, and F1 measures, we show the effectiveness of the proposed approach. Copyright © 2010 Inderscience Enterprises Ltd.

引用

页码：115 / 140

页数：25

共 34 条

[1]

Aussenac-Gilles N., Supervised text analyses for ontology and terminology engineering, Dagstuhl Seminar on Machine Learning for the Semantic Web (MLSW 2005), pp. 1-7, (2005)

[2]

Baazaoui-Zghal H., Aufaure M.-A., Mustapha N.B., A model driven approach of ontological components for on-line semantic Web information retrieval, Journal of Web Engineering, 6, 4, pp. 309-336, (2007)

[3]

Bechhofer S., Van Harmelen F., Hendler J., Horrocks I., McGuinness D.L., Patel-Schneider P.F., Stein L.A., OWL Web Ontology Language Reference - W3C Recommendation 10 February 2004, (2004)

[4]

Boley H., Tabet S., Wagner G., Design rationale of rule ML: A markup language for semantic Web rules, 1st Semantic Web Working Symposium (SWWS 2001), pp. 381-401, (2001)

[5]

Borsje J., Levering L., Frasincar F., Hermes: A semantic web-based news decision support system, 23rd Annual ACM Symposium on Applied Computing (SAC 2008), pp. 2415-2420, (2008)

[6]

Brill E., A simple rule-based part of speech tagger, 3rd Conference on Applied Natural Language Processing (ANLP 1992), pp. 152-155, (1992)

[7]

Cimiano P., Staab S., Learning by googling, SIGKDD Explorations Newsletter, 6, 2, pp. 24-33, (2004)

[8]

Cunningham H., Maynard D., Bontcheva K., Tablan V., GATE: A framework and graphical development environment for robust NLP tools and applications, 40th Anniversary Meeting of the Association for Computational Linguistics (ACL 2002, pp. 168-175, (2002)

[9]

Frasincar F., Borsje J., Levering L., A semantic web-based approach for building personalized news services, International Journal of E-Business Research, 5, 3, pp. 35-53, (2009)

[10]

Frasincar F., Milea V., Kaymak U., Semantic Web Information Management: A Model-Based Perspective, pp. 225-246, (2010)

← 1 2 3 4 →