Abstract
In terms of the current information society, where news and information generally run at a remarkable speed, it is imperative that the events of capital importance for the world economy (and others fields) to be available and disseminated in real time. Thus, we refer to news that may influence in a large manner the stock quotes, forex, oil quotes and so on. In view of the fact that the Internet abounds in news, in our on-going research (under grant TE 316 ”Intelligent methods for decision fundamentation on stock market transactions, based on public information”) we seek to propose a solution for extracting news vital information, its interpretation in real time, followed by suggesting possible decisional alternatives to the representatives involved in the stock exchange market. We put forward in the present paper our starting ideas for a conceptual model for a semantic Web news search, which encompasses multi-agent technologies, semantic Web, text search and mining, RSS news feeds.
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Bresfelean, V.P., Bresfelean, M., Ghiran, AM. (2011). Ontology Importance towards Enhancing Suggestions in a News Recommender System for a Financial Investor. In: García-Barriocanal, E., Cebeci, Z., Okur, M.C., Öztürk, A. (eds) Metadata and Semantic Research. MTSR 2011. Communications in Computer and Information Science, vol 240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24731-6_18
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DOI: https://doi.org/10.1007/978-3-642-24731-6_18
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