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Lars Heling

Lars Heling

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Lars Heling is a Software Engineer working on the query engine team at Stardog. Before joining Stardog, he got a PhD in query processing over heterogeneous sources of knowledge graphs and worked as a Knowledge Engineer in the area of digital twins. 
Improving VG Perf with Multiway Service Joins
Knowledge GraphPerformance
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Improving VG Perf with Multiway Service Joins

Introducing the new MultiWayServiceJoin operator to improve query execution efficiency in federated knowledge graphs by reducing data transfer from remote data sources.

Robust Query Planning for Federated Queries
PerformanceKnowledge Graph
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Robust Query Planning for Federated Queries

With Stardog 10, we introduce a robust query optimization strategy that takes the uncertainty in the presence of remote data sources, such as Virtual Graphs (VGs), during the query planning process into account.

30x Faster Federated Query with Stardog 9
PerformanceKnowledge Graph
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30x Faster Federated Query with Stardog 9

A big speedup in Virtual Graph performance by improving source selection and query decomposition; reworking cardinality estimations; and tweaking cost model and physical operators.