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20202025
most citedCoconut: a scalable bottom-up approach for building data series indexes

20 citations · 28 across the 6 of their papers we have counts for

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cs.DB2025

PG-HIVE: Hybrid Incremental Schema Discovery for Property Graphs

Sofia Sideri, Georgia Troullinou, Elisjana Ymeralli +3

Property graphs have rapidly become the de facto standard for representing and managing complex, interconnected data, powering applications across domains from knowledge graphs to…

cs.DB20241 cited

iSummary: Workload-based, Personalized Summaries for Knowledge Graphs

Giannis Vassiliou, Fanouris Alevizakis, Nikolaos Papadakis +1

The explosion in the size and the complexity of the available Knowledge Graphs on the web has led to the need for efficient and effective methods for their understanding and explor…

cs.DB2021

SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs

Georgia Troullinou, Haridimos Kondylakis, Matteo Lissandrini +1

Analytical queries over RDF data are becoming prominent as a result of the proliferation of knowledge graphs. Yet, RDF databases are not optimized to perform such queries efficient…

cs.DB202020 cited

Coconut: a scalable bottom-up approach for building data series indexes

Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos +1

Many modern applications produce massive amounts of data series that need to be analyzed, requiring efficient similarity search operations. However, the state-of-the-art data serie…

cs.DB20201 cited

Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm

Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos +1

Many modern applications produce massive streams of data series and maintain them in indexes to be able to explore them through nearest neighbor search. Existing data series indexe…

cs.DB2020

Coconut: sortable summarizations for scalable indexes over static and streaming data series

Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos +1

Many modern applications produce massive streams of data series that need to be analyzed, requiring efficient similarity search operations. However, the state-of-the-art data serie…