Optimised classification for taxonomic knowledge bases

Dmitry Tsarkov; Ian Horrocks

Optimised classification for taxonomic knowledge bases

Dmitry Tsarkov, Ian Horrocks

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

Abstract

Many legacy ontologies are now being translated into Description Logic (DL) based ontology languages in order to take advantage of DL based tools and reasoning services. The resulting DL Knowledge Bases (KBs) are typically of large size, but have a very simple structure, i.e., they consist mainly of shallow taxonomies. The classification algorithms used in state-of-the-art DL reasoners may not deal well with such KBs In this paper we propose an optimisation which dramatically speeds-up classification for such KBs.

Original language	English
Title of host publication	CEUR Workshop Proceedings\|CEUR Workshop Proc.
Publisher	RWTH Aachen University
Volume	147
Publication status	Published - 2005
Event	2005 International Workshop on Description Logics, DL 2005 - Edinburgh Duration: 1 Jul 2005 → …

Conference

Conference	2005 International Workshop on Description Logics, DL 2005
City	Edinburgh
Period	1/07/05 → …

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@inproceedings{99e7896bec0c41838e09ed2c73397d97,

title = "Optimised classification for taxonomic knowledge bases",

abstract = "Many legacy ontologies are now being translated into Description Logic (DL) based ontology languages in order to take advantage of DL based tools and reasoning services. The resulting DL Knowledge Bases (KBs) are typically of large size, but have a very simple structure, i.e., they consist mainly of shallow taxonomies. The classification algorithms used in state-of-the-art DL reasoners may not deal well with such KBs In this paper we propose an optimisation which dramatically speeds-up classification for such KBs.",

author = "Dmitry Tsarkov and Ian Horrocks",

year = "2005",

language = "English",

volume = "147",

booktitle = "CEUR Workshop Proceedings|CEUR Workshop Proc.",

publisher = "RWTH Aachen University",

address = "Germany",

note = "2005 International Workshop on Description Logics, DL 2005 ; Conference date: 01-07-2005",

}

TY - GEN

T1 - Optimised classification for taxonomic knowledge bases

AU - Tsarkov, Dmitry

AU - Horrocks, Ian

PY - 2005

Y1 - 2005

N2 - Many legacy ontologies are now being translated into Description Logic (DL) based ontology languages in order to take advantage of DL based tools and reasoning services. The resulting DL Knowledge Bases (KBs) are typically of large size, but have a very simple structure, i.e., they consist mainly of shallow taxonomies. The classification algorithms used in state-of-the-art DL reasoners may not deal well with such KBs In this paper we propose an optimisation which dramatically speeds-up classification for such KBs.

AB - Many legacy ontologies are now being translated into Description Logic (DL) based ontology languages in order to take advantage of DL based tools and reasoning services. The resulting DL Knowledge Bases (KBs) are typically of large size, but have a very simple structure, i.e., they consist mainly of shallow taxonomies. The classification algorithms used in state-of-the-art DL reasoners may not deal well with such KBs In this paper we propose an optimisation which dramatically speeds-up classification for such KBs.

M3 - Conference contribution

VL - 147

BT - CEUR Workshop Proceedings|CEUR Workshop Proc.

PB - RWTH Aachen University

T2 - 2005 International Workshop on Description Logics, DL 2005

Y2 - 1 July 2005

ER -

Optimised classification for taxonomic knowledge bases

Abstract

Conference

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