Drug Interaction Ontology (DIO) and the resource-sensitive logical inferences

Mitsuhiro Okada, Yutaro Sugimoto, Sumi Yoshikawa, Akihiko Konagaya

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

2 Citations (Scopus)

Abstract

In this paper, we propose a formulation for inference rules in Drug Interaction Ontology (DIO). Our formulation for inference rules is viewed from the standpoint of process-description. The relations in DIO are now described as resource-sensitive linear logical implications. The compositional reasoning on certain drug-interactions discussed in our previous work on DIO is represented as a construction of a linear logical proof. As examples of our formulation, we use some anti-cancer drug interactions.

Original languageEnglish
Title of host publicationAlgebra, Meaning, and Computation
Subtitle of host publicationEssays Dedicated to Joseph A Goguen on the Occasion of His 65th Birthday
Pages616-642
Number of pages27
Publication statusPublished - 2006 Dec 1
EventSymposium on Algebra, Meaning, and Computation on Essays to Joseph A Goguen on the Occasion of His 65th Birthday - San Diego, CA, United States
Duration: 2006 Jun 272006 Jun 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4060 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherSymposium on Algebra, Meaning, and Computation on Essays to Joseph A Goguen on the Occasion of His 65th Birthday
CountryUnited States
CitySan Diego, CA
Period06/6/2706/6/29

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Okada, M., Sugimoto, Y., Yoshikawa, S., & Konagaya, A. (2006). Drug Interaction Ontology (DIO) and the resource-sensitive logical inferences. In Algebra, Meaning, and Computation: Essays Dedicated to Joseph A Goguen on the Occasion of His 65th Birthday (pp. 616-642). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4060 LNCS).