Plausible Description Logic Programs for Stream Reasoning

Future Internet

Adrian Groza¹ 

关键词: stream reasoning;    description logic;    plausible logic;    lazy evaluation;    sensors;    Haskell;   

DOI  :  10.3390/fi4040865

来源: mdpi

【 摘 要 】

Sensor networks are estimated to drive the formation of the future Internet, with stream reasoning responsible for analysing sensor data. Stream reasoning is defined as real time logical reasoning on large, noisy, heterogeneous data streams, aiming to support the decision process of large numbers of concurrent querying agents. In this research we exploited non-monotonic rule-based systems for handling inconsistent or incomplete information and also ontologies to deal with heterogeneity. Data is aggregated from distributed streams in real time and plausible rules fire when new data is available. The advantages of lazy evaluation on data streams were investigated in this study, with the help of a prototype developed in Haskell.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.