In this paper we present a general framework for time-aware decision support systems. The framework uses the state-of-the-art tOWL language for the representation of temporal knowledge and enables temporal reasoning over the information that is represented in a knowledge base. Our approach uses state-of-the-art Semantic Web technology for handling temporal data. Through such an approach, the designer of a system can focus on the application intelligence rather than enforcing/checking data related restrictions manually. Also, there is an increased support for reuse of temporal reasoning tools across applications. We illustrate the applicability of our framework by building a market recommendations aggregation system. This system automatically collects market recommendations from online sources and, based on the past performance of the analysts that issued a recommendation, generates an aggregated recommendation in the form of a buy, hold, or sell advice. We illustrate the flexibility of our proposed system by implementing multiple methods for the aggregation of market recommendations.

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Keywords Automated trading, Decision support system, Market recommendations, Temporal knowledge, Temporal reasoning, tOWL
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Journal Expert Systems with Applications
Milea, V, Frasincar, F, & Kaymak, U. (2013). A general framework for time-aware decision support systems. Expert Systems with Applications, 40(2), 399–407. doi:10.1016/j.eswa.2012.08.001