Partitioning OWL knowledge bases - Revisited and revised

Sebastian Wandelt

Partitioning OWL knowledge bases - Revisited and revised

Sebastian Wandelt^*

^*Corresponding author for this work

Hamburg University of Technology

Research output: Contribution to journal › Conference article › peer-review

Abstract

The development of scalable reasoning systems is one of the crucial factors determining the success of Semantic Web systems. Recently, in [GH06], an approach is proposed, which tackles the problem by splitting the assertional part of ontologies into several partitions. In this work we provide our experiences gained by implementing and understanding the given partitioning algorithm and fix some issues which came our way. Furthermore, we propose an extension of the algorithm, which allows for assertional updates, without need to repartition the whole knowledge base. Both contributions can hopefully increase the potential success of partitioning real world ontologies..

Original language	English
Journal	CEUR Workshop Proceedings
Volume	353
State	Published - 2008
Externally published	Yes
Event	21st International Workshop on Description Logics, DL 2008 - Dresden, Germany Duration: 13 May 2008 → 16 May 2008

Cite this

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title = "Partitioning OWL knowledge bases - Revisited and revised",

abstract = "The development of scalable reasoning systems is one of the crucial factors determining the success of Semantic Web systems. Recently, in [GH06], an approach is proposed, which tackles the problem by splitting the assertional part of ontologies into several partitions. In this work we provide our experiences gained by implementing and understanding the given partitioning algorithm and fix some issues which came our way. Furthermore, we propose an extension of the algorithm, which allows for assertional updates, without need to repartition the whole knowledge base. Both contributions can hopefully increase the potential success of partitioning real world ontologies..",

author = "Sebastian Wandelt",

year = "2008",

language = "英语",

volume = "353",

journal = "CEUR Workshop Proceedings",

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AB - The development of scalable reasoning systems is one of the crucial factors determining the success of Semantic Web systems. Recently, in [GH06], an approach is proposed, which tackles the problem by splitting the assertional part of ontologies into several partitions. In this work we provide our experiences gained by implementing and understanding the given partitioning algorithm and fix some issues which came our way. Furthermore, we propose an extension of the algorithm, which allows for assertional updates, without need to repartition the whole knowledge base. Both contributions can hopefully increase the potential success of partitioning real world ontologies..

UR - https://www.scopus.com/pages/publications/84872968254

M3 - 会议文章

AN - SCOPUS:84872968254

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JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 21st International Workshop on Description Logics, DL 2008

Y2 - 13 May 2008 through 16 May 2008

ER -

Partitioning OWL knowledge bases - Revisited and revised

Abstract

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