DataHives: Triple Store Enhancement Using A Bee Calculus

Pepijn Kroes, Wouter Beek, Stefan Schlobach

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

The Linked Open Data (LOD) cloud is too big for efficient computation and too heterogeneous for standard materialization techniques to cope with. The purpose of the DataHives system is to solve both of these problems by utilizing swarm intelligence to enhance a curated dataset. The system spawns software agents
that traverse the LOD cloud looking for extensions to the curated dataset that are relevant and trusted.
Original languageEnglish
Title of host publicationProceedings of the 25th Belgium-Netherlands Artificial Intelligence Conference
EditorsK. Koen Hindriks, M. de Weerdt, B. van Riemsdijk, M. Warnier
Pages380-381
Publication statusPublished - 2013
Event25th Benelux Conference on Artificial Intelligence (BNAIC 2013) - Delft, Netherlands
Duration: 7 Nov 20138 Nov 2013

Conference

Conference25th Benelux Conference on Artificial Intelligence (BNAIC 2013)
CountryNetherlands
CityDelft
Period7/11/138/11/13

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