Towards Smart Cache Management for Ontology Based, History-Aware Stream Reasoning

Authors
Yan, Rui
Praggastis, Brenda
Smith, William
McGuinness, Deborah L.
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Issue Date
2015-08-31
Keywords
Streaming Hypothesis Reasoning
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Abstract
Stream reasoning is an exciting multidisciplinary research area that combines stream processing and semantic reasoning. Its goal is to not only process a dynamic data stream, but also to extract explicit and implicit information on-the-fly. One of its challenges is managing history awareness: how much and which historical data should be held and for how long as we continuously query and reason on an ever changing stream of linked data? In this paper, we propose an innovative approach to enable history-aware reasoning by utilizing semantic technologies in a data cache with a statistics-based cache management policy.
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https://tw.rpi.edu/project/shyre
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