Let's talk in description logic via controlled natural language

Rolf Schwitter, Marc Tilbrook

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

In this paper, we will argue that a well-defined subset of English can be used to express the same kind of information as the description logic layer of the Web Ontology Language OWL DL. We will first show what kind of problems current notations for OWL have and then discuss how an OWL ontology can be constructed alternatively in a controlled natural language (CNL). In particular, we will present the details of a CNL which offers the same expressive power as OWL DL for describing the facts, axioms and restrictions which may occur in an OWL ontology. An ontology pecification written in CNL can be unambiguously translated into OWL abstract syntax and vice versa with the help of a bi-directional grammar. The users of the CNL do not need to learn the rules of the language, since the writing process is supported by an intelligent authoring tool.
Original languageEnglish
Title of host publicationProceedings of the Third International Workshop on Logic and Engineering of Natural Language Semantics (LENLS 2006) in Conjunction with the 20th Annual Conference of the Japanese Society for Artificial Intelligence
EditorsEric McCready
Place of PublicationTokyo
PublisherJapanese Society for Artificial Intelligence
Pages193-207
Number of pages15
Publication statusPublished - 2006
EventWorkshop on Logic and Engineering of Natural Language Semantics (3rd : 2006) - Tokyo
Duration: 5 Jun 20066 Jun 2006

Workshop

WorkshopWorkshop on Logic and Engineering of Natural Language Semantics (3rd : 2006)
CityTokyo
Period5/06/066/06/06

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Schwitter, R., & Tilbrook, M. (2006). Let's talk in description logic via controlled natural language. In E. McCready (Ed.), Proceedings of the Third International Workshop on Logic and Engineering of Natural Language Semantics (LENLS 2006) in Conjunction with the 20th Annual Conference of the Japanese Society for Artificial Intelligence (pp. 193-207). Tokyo: Japanese Society for Artificial Intelligence.