Knowledge-based processing of complex stock market events
Knowledge-based processing of complex stock market events
复制标题
基于知识的复杂股市事件处理
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
A. Paschke
中科院分区：
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作者：
Kia Teymourian;M. Rohde;A. Paschke
使用有关事件及其与应用领域中其他概念的关系的背景知识可以提高事件处理的质量。在本文中，我们描述了一种基于股票市场公司可用背景知识的复杂股票市场事件的基于知识的事件检测系统。我们的系统受益于实时事件流和存储在知识库中的公司背景知识的数据融合。我们系统的用户可以用规则语言表达他们的查询，该规则语言提供了用SPARQL查询语言指定有关公司的语义查询的功能，用于查询外部知识库并将其与事件数据流结合起来。背景使得基于公司属性而不仅仅是基于股票价格和交易量的句法处理来检测股票市场事件成为可能。
Usage of background knowledge about events and their relations to other concepts in the application domain, can improve the quality of event processing. In this paper, we describe a system for knowledge-based event detection of complex stock market events based on available background knowledge about stock market companies. Our system profits from data fusion of live event stream and background knowledge about companies which is stored in a knowledge base. Users of our system can express their queries in a rule language which provides functionalities to specify semantic queries about companies in the SPARQL query language for querying the external knowledge base and combine it with event data stream. Background makes it possible to detect stock market events based on companies attributes and not only based on syntactic processing of stock price and volume.