Pathway Computation in Models Derived from Bio-science Text Sources

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

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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 : Proceedings of the 23rd International Symposium, ISMIS 2017
EditorsMarzena Kryszkiewicz , Annalisa Appice, Dominik Ślęzak, Henryk Rybinski, Andrzej Skowron, Zbigniew W. Raś
Number of pages11
Volume10352
PublisherSpringer
Publication date2017
Pages424-434
ISBN (Print)9783319604374
ISBN (Electronic)9783319604381
DOIs
Publication statusPublished - 2017
EventThe 23rd International Symposium on Methodologies for Intelligent Systems. ISMIS 2017 - Warsaw University of Technology, Warsaw, Poland
Duration: 26 Jun 201729 Jun 2017
Conference number: 23
http://ismis2017.ii.pw.edu.pl/

Conference

ConferenceThe 23rd International Symposium on Methodologies for Intelligent Systems. ISMIS 2017
Number23
LocationWarsaw University of Technology
CountryPoland
CityWarsaw
Period26/06/201729/06/2017
Internet address
SeriesLecture Notes in Computer Science
Volume10352
ISSN0302-9743

Keywords

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

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