Equivalence Heuristics for Malleability-Aware Skylines

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Provided by: Korean Institute of Information Scientists and Engineers
Topic: Big Data
Format: PDF
In recent years, the skyline query paradigm has been established as a reliable method for database query personalization. While early efficiency problems have been solved by sophisticated algorithms and advanced indexing, new challenges in skyline retrieval effectiveness continuously arise. In particular, the rise of the semantic web and linked open data leads to personalization issues where skyline queries cannot be applied easily. The authors addressed the special challenges presented by linked open data in previous paper; and now further extend this paper, with a heuristic workflow to boost efficiency.
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