Speaker: | Mohamed Sabri |
Abstract: | Linked data has been widely adopted over the last few years, with the size of the Linked Data Cloud almost doubling every year. However, there is still no well-defined mechanism to query such a Web of Data. In this talk, we propose a framework that incorporates a set of optimizations to tackle various limitations in the state-of-the-art. The framework aims at combining the centralized query optimization capabilities of the data warehouse-based approaches with the result freshness and explorative data source discovery capabilities of link- traversal approaches. This is achieved by augmenting baseline link-traversal query execution with a set of optimization techniques. The proposed optimizations fall under two categories: metadata-based optimizations and semantics-based optimizations. |
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