Dec 5, 2023 · TunA, a query engine that is able to combine RESTful Web APIs and local RDF KBs in the form of triple stores while tuning its (query) plans towards user ...

Apr 25, 2024 · Abstract: To answer queries many SPARQL query processors use different sources, e.g., various knowledge bases (KBs) or end points.

The primary goal of our query optimizer is to return a query result that satisfies the user's preferences in terms of data quality, even when using unreliable ...

What is TunA? To answer queries many query processors combine different SPARQL sources, e.g., various knowledge bases or APIs. RESTful Web APIs are rarely the ...

Tunable Query Optimizer for Web APIs and User Preferences. · Department of Computer Science · Artificial Intelligence and Machine Learning · AI for the People ...

It reduces the response time of query processing. Simulation shows proposed algorithm can solve MJQO problem in less amount of time than particle swarm ...

Tunable Query Optimizer for Web APIs and User Preferences. Tobias Zeimetz Katja Hose Ralf Schenkel. Published in: K-CAP (2023). Keyphrases.

Tunable Query Optimizer for Web APIs and User Preferences. · Department of Computer Science · Artificial Intelligence and Machine Learning · AI for the People ...

Oct 9, 2024 · Tunable Query Optimizer for Web APIs and User Preferences. K-CAP ... Hybrid Federations - Connecting Web APIs and Linked Data Knowledge Bases.

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