Towards A Topological Framework for Integrating Semantic Information Sources

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Provided by: RWTH Aachen University
Topic: Enterprise Software
Format: PDF
In this paper, the authors argue for the role that Topological Data Modeling (TDM) principles can play in providing a framework for sensor integration. While used successfully in standard (quantitative) sensors, they are developing this methodology in new directions to make it appropriate specifically for semantic information sources, including keyterms, ontology terms and other general Boolean, categorical, ordinal and partially-ordered data types. Given pairwise information source integration principles, TDM can measure overall consistency, and most importantly, reveal cyclic dependencies amongst data sources where conflicts might not be able to be identified.
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