DataHives: Triple Store Enhancement Using A Bee Calculus

Pepijn Kroes; Wouter Beek; Stefan Schlobach

DataHives: Triple Store Enhancement Using A Bee Calculus

Pepijn Kroes, Wouter Beek, Stefan Schlobach

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Proceedings of the 25th Belgium-Netherlands Artificial Intelligence Conference
Editors	K. Koen Hindriks, M. de Weerdt, B. van Riemsdijk, M. Warnier
Pages	380-381
Publication status	Published - 2013
Event	25th Benelux Conference on Artificial Intelligence (BNAIC 2013) - Delft, Netherlands Duration: 7 Nov 2013 → 8 Nov 2013

Conference

Conference	25th Benelux Conference on Artificial Intelligence (BNAIC 2013)
Country	Netherlands
City	Delft
Period	7/11/13 → 8/11/13

Cite this

@inproceedings{11d7ed31bd004cd7823f7a011e56354b,

title = "DataHives: Triple Store Enhancement Using A Bee Calculus",

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 agentsthat traverse the LOD cloud looking for extensions to the curated dataset that are relevant and trusted.",

author = "Pepijn Kroes and Wouter Beek and Stefan Schlobach",

year = "2013",

language = "English",

pages = "380--381",

editor = "{Koen Hindriks}, K. and {de Weerdt}, M. and {van Riemsdijk}, B. and M. Warnier",

booktitle = "Proceedings of the 25th Belgium-Netherlands Artificial Intelligence Conference",

note = "25th Benelux Conference on Artificial Intelligence (BNAIC 2013) ; Conference date: 07-11-2013 Through 08-11-2013",

}

DataHives: Triple Store Enhancement Using A Bee Calculus. / Kroes, Pepijn; Beek, Wouter; Schlobach, Stefan.

Proceedings of the 25th Belgium-Netherlands Artificial Intelligence Conference. ed. / K. Koen Hindriks; M. de Weerdt; B. van Riemsdijk; M. Warnier. 2013. p. 380-381.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - DataHives: Triple Store Enhancement Using A Bee Calculus

AU - Kroes, Pepijn

AU - Beek, Wouter

AU - Schlobach, Stefan

PY - 2013

Y1 - 2013

N2 - 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 agentsthat traverse the LOD cloud looking for extensions to the curated dataset that are relevant and trusted.

AB - 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 agentsthat traverse the LOD cloud looking for extensions to the curated dataset that are relevant and trusted.

M3 - Conference contribution

SP - 380

EP - 381

BT - Proceedings of the 25th Belgium-Netherlands Artificial Intelligence Conference

A2 - Koen Hindriks, K.

A2 - de Weerdt, M.

A2 - van Riemsdijk, B.

A2 - Warnier, M.

T2 - 25th Benelux Conference on Artificial Intelligence (BNAIC 2013)

Y2 - 7 November 2013 through 8 November 2013

ER -

DataHives: Triple Store Enhancement Using A Bee Calculus

Abstract

Conference

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