Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
KIM – a semantic platform for information extraction and retrieval
Natural Language Engineering
Structural Semantic Interconnections: A Knowledge-Based Approach to Word Sense Disambiguation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using a semantic concordance for sense identification
HLT '94 Proceedings of the workshop on Human Language Technology
A semantic web-based approach for personalizing news
Proceedings of the 2010 ACM Symposium on Applied Computing
RssE-Miner: a new approach for efficient events mining from social media RSS feeds
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
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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.