Pathway computation in models derived from bio-science text sources

Troels Andreasen*, Henrik Bulskov, Per Anker Jensen, Jørgen Fischer Nilsson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

This paper outlines a system, OntoScape, serving to accomplish complex inference tasks on knowledge bases and bio-models derived from life-science text corpora. The system applies so-called natural logic, a form of logic which is readable for humans. This logic affords ontological representations of complex terms appearing in the text sources. Along with logical propositions, the system applies a semantic graph representation facilitating calculation of bio-pathways. More generally, the system affords means of query answering appealing to general and domain specific inference rules.

Original languageEnglish
Title of host publicationFoundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017, Proceedings
Volume10352
PublisherSpringer Verlag
Publication date2017
Pages424-434
Chapter1
ISBN (Print)9783319604374
DOIs
Publication statusPublished - 2017
Event23rd International Symposium on Methodologies for Intelligent Systems, ISMIS 2017 - Warsaw, Poland
Duration: 26 Jun 201729 Jun 2017

Conference

Conference23rd International Symposium on Methodologies for Intelligent Systems, ISMIS 2017
Country/TerritoryPoland
CityWarsaw
Period26/06/201729/06/2017
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10352 LNAI
ISSN0302-9743

Keywords

  • Bio-models using natural logic and semantic graphs
  • Querying and pathway computation
  • Semantic text processing in bio-informatics

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