The semantic processing of continuous quantities for discrete terms in ontologies

Shenghui Wang*, David Rydeheard, Jeff Z. Pan

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

We consider continuous quantities that are used to describe the physical world, such as colour, shape, sound, texture and spatial and temporal arrangements. Natural languages are not adept at describing these quantities, nor are they easily incorporated into ontologies in the form of discrete terms. In this article, we analyse the way that natural languages handle continuous quantities, propose a general semantics based on metric spaces, and describe how to treat semantic values computationally, so that we may automate the processing of texts which describe continuous quantities allowing, for example, query evaluation and the integration of multiple texts. This provides a basis for incorporating these quantities into ontologies and combining their semantics with automated reasoning tools. We run a series of experiments to evaluate the semantics, the general framework, and the computational system we have developed.

Original languageEnglish
Pages (from-to)341-359
Number of pages19
JournalJournal of logic and computation
Volume18
Issue number3
DOIs
Publication statusPublished - 1 Jun 2008
Externally publishedYes

Keywords

  • Continuous quantities
  • Information integration and query evaluation
  • Metric semantic model
  • Practical semantics
  • Similarity

Fingerprint Dive into the research topics of 'The semantic processing of continuous quantities for discrete terms in ontologies'. Together they form a unique fingerprint.

  • Cite this