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.

Additional Metadata
Keywords Automated trading, Decision support system, Market recommendations, Temporal knowledge, Temporal reasoning, tOWL
Persistent URL dx.doi.org/10.1016/j.eswa.2012.08.001, hdl.handle.net/1765/76389
Journal Expert Systems with Applications
Citation
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