A System for Conceptual Pathway Finding and Deductive Querying

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

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

    144 Downloads (Pure)


    We describe principles and design of a system for knowledge bases applying a natural logic. Natural logics are forms of logic which appear as stylized fragments of natural language sentences. Accordingly, such knowledge base sentences can be read and understood directly by a domain expert. The system applies a graph form computed from the input natural logic sentences. The graph form generalizes the usual partial-order ontological sub-class structures by accommodation of affirmative sentences comprising recursive phrase structures. In this paper we focus on the logical inference rules for extending the concept graph form enabling deductive querying as well as computation of pathways between the concepts mentioned in the sentences.
    Original languageEnglish
    Title of host publicationFlexible Query Answering Systems 2015 : Proceedings of the 11th International Conference FQAS 2015, Cracow, Poland, October 26-28, 2015
    EditorsTroels Andreasen, Henning Christiansen, Janusz Kacprzyk, Henrik Larsen, Gabriella Pasi, Olivier Pivert, Guy De Tré, Maria Amparo Vila, Adnan Yazici, Sławomir Zadrożny
    Number of pages12
    Place of PublicationCham
    PublisherSpringer Science+Business Media
    Publication date2016
    ISBN (Print)9783319261539
    ISBN (Electronic) 9783319261546
    Publication statusPublished - 2016
    EventThe 11th International Conference on Flexible Query Answering Systems. FQAS 2015 - Dom Polonii, Kraków, Poland
    Duration: 26 Oct 201528 Oct 2015
    Conference number: 11


    ConferenceThe 11th International Conference on Flexible Query Answering Systems. FQAS 2015
    LocationDom Polonii
    Internet address
    SeriesAdvances in Intelligent Systems and Computing


    • Deductive querying of natural-logic knowledge bases
    • Path finding in knowledge bases
    • Logical knowledge bases in bio-informatics and medicine

    Cite this