A System for Computing Conceptual Pathways in Bio-medical Text Models

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

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

Abstract

This paper describes the key principles in a system for querying and conceptual path finding in a logic-based knowledge base. The knowledge base is extracted from textual descriptions in bio-, pharma- and medical areas. The knowledge base applies natural logic, that is, a variable-free term-algebraic form of predicate logic. Natural logics are distinguished by coming close to natural language so that propositions are readable by domain experts. The natural logic knowledge base is accompanied by an internal graph representation, where the nodes represent simple concept terms as well as compound concepts stemming from entire phrases. Path finding between concepts is facilitated by a labelled graph form that represents the knowledge base as well as the ontological information.
Original languageEnglish
Title of host publicationFoundations of Intelligent Systems
EditorsTroels Andreasen, Henning Christiansen, Juan-Carlos Cubero, Zbigniew W. Ras
PublisherSpringer
Publication date2014
Pages264-273
ISBN (Print)978-3-319-08325-4
ISBN (Electronic)978-3-319-08326-1
DOIs
Publication statusPublished - 2014
SeriesLecture Notes in Computer Science
Volume8502
ISSN0302-9743

Cite this

Andreasen, T., Bulskov, H., Nilsson, J. F., & Jensen, P. A. (2014). A System for Computing Conceptual Pathways in Bio-medical Text Models. In T. Andreasen, H. Christiansen, J-C. Cubero, & Z. W. Ras (Eds.), Foundations of Intelligent Systems (pp. 264-273). Springer. Lecture Notes in Computer Science, Vol.. 8502 https://doi.org/10.1007/978-3-319-08326-1_27