Towards Practical Taxonomic Classification for Description Logics on the Semantic Web

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Citation: Scott P. Sanner. (2003) Towards Practical Taxonomic Classification for Description Logics on the Semantic Web. In KSL-03-06, 2003.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Scott P. Sanner
title Towards Practical Taxonomic Classification for Description Logics on the Semantic Web
number KSL-03-06
institution Knowledge Systems, AI Laboratory
year 2003
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abstract Description logics offer a well-defined semantics for many common and useful reasoning tasks that can be formalized under the notion of subsumption and are currently finding use as a representation language for the Semantic Web (e.g., DAML+OIL). For this domain, description logics can be highly useful for reasoning about relationships between entities in distributed knowledge bases by classifying them into a taxonomic subsumption hierarchy. However, there are many practical considerations for designing a sound and complete, yet efficient algorithm for performing large-scale taxonomic classification. Traditionally, structural subsumption algorithms have provided efficient techniques for performing classification but have only supported relatively inexpressive languages. Consequently, in response to the need for efficient taxonomic classification of more expressive languages, we develop an approach that extends previous structural subsumption algorithms to support sound and complete classification of a moderately expressive description logic including both conjunctive and disjunctive constructors. Furthermore, we extend this algorithm to a more expressive description logic with the claim that its sources of incompleteness are infrequent and benign in practice. Finally, we show that for the expected distribution of concept structures, both of these taxonomic classification algorithms require polynomial time in the size of the knowledge base and argue that such a result is a necessity for practical classification algorithms that will scale with the expected growth of the Semantic Web.

KSL Technical Report ID: KSL-03-06
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Abstract Description logics offer a well-defined se … Description logics offer a well-defined semantics for many common and useful reasoning tasks that can be formalized under the notion of subsumption and are currently finding use as a representation language for the Semantic Web (e.g., DAML+OIL). For this domain, description logics can be highly useful for reasoning about relationships between entities in distributed knowledge bases by classifying them into a taxonomic subsumption hierarchy. However, there are many practical considerations for designing a sound and complete, yet efficient algorithm for performing large-scale taxonomic classification. Traditionally, structural subsumption algorithms have provided efficient techniques for performing classification but have only supported relatively inexpressive languages. Consequently, in response to the need for efficient taxonomic classification of more expressive languages, we develop an approach that extends previous structural subsumption algorithms to support sound and complete classification of a moderately expressive description logic including both conjunctive and disjunctive constructors. Furthermore, we extend this algorithm to a more expressive description logic with the claim that its sources of incompleteness are infrequent and benign in practice. Finally, we show that for the expected distribution of concept structures, both of these taxonomic classification algorithms require polynomial time in the size of the knowledge base and argue that such a result is a necessity for practical classification algorithms that will scale with the expected growth of the Semantic Web. h the expected growth of the Semantic Web.
Author Scott P. Sanner  +
Bibtype techreport  +
Has author Scott P. Sanner  +
Has identifier KSL-03-06  +
Has publishing details 2003  +
Has title Towards Practical Taxonomic Classification for Description Logics on the Semantic Web  +
Has where published KSL-03-06  +
Has year 2003  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-03-06  +
Number KSL-03-06  +
Process note NO  +
Title Towards Practical Taxonomic Classification for Description Logics on the Semantic Web  +
Year 2003  +
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