Detecting economic events using a semantics-based pipeline

A.C. Hogenboom, F.P. Hogenboom, F. Frasincar, U. Kaymak, O. Meer, van der, K. Schouten

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

5 Citations (Scopus)


In today’s information-driven global economy, breaking news on economic events such as acquisitions and stock splits has a substantial impact on the financial markets. Therefore, it is important to be able to automatically identify events in news items accurately and in a timely manner. For this purpose, one has to be able to mine a wide variety of heterogeneous sources of unstructured data to extract knowledge that is useful for guiding decision making processes. We propose a Semanticsbased Pipeline for Economic Event Detection (SPEED), which aims at extracting financial events from news articles and annotating these events with meta-data, while retaining a speed that is high enough to make realtime use possible. In our pipeline implementation, we have reused some of the components of an existing framework and developed new ones, such as an Ontology Gazetteer and a Word Sense Disambiguator.
Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications (22nd International Conference, DEXA 2011, Toulouse, France, August 29-September 2, 2011, Proceedings, Part I'
EditorsA. Hameurlain, S. Liddle, K. Schewe, X. Zhou
Place of PublicationBerlin
ISBN (Print)978-3-642-23087-5
Publication statusPublished - 2011
Eventconference; 22nd International Conference, DEXA 2011, Toulouse; 2011-08-29; 2011-09-02 -
Duration: 29 Aug 20112 Sept 2011

Publication series

NameLecture Notes in Computer Science


Conferenceconference; 22nd International Conference, DEXA 2011, Toulouse; 2011-08-29; 2011-09-02
Other22nd International Conference, DEXA 2011, Toulouse


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