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Computing Query Answering With Non-Monotonic Rules: A Case Study of Archaeology Qualitative Spatial Reasoning

Abstract : This paper deals with querying ontology-based knowledge bases equipped with non-monotonic rules through a case study within the framework of Cultural Heritage. It focuses on 3D underwater surveys on the Xlendi wreck which is represented by an OWL2 knowledge base with a large dataset. The paper aims at improving the interactions between the archaeologists and the knowledge base providing new queries that involve non-monotonic rules in order to perform qualitative spatial reasoning. To this end, the knowledge base initially represented in OWL2-QL is translated into an equivalent Answer Set Programming (ASP) program and is enriched with a set of non-monotonic ASP rules suitable to express default and exceptions. An ASP query answering approach is proposed and implemented. Furthermore due to the increased expressiveness of non-monotonic rules it provides spatial reasoning and spatial relations between artifacts query answering which is not possible with query answering languages such as SPARQL and SQWRL.
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https://hal-amu.archives-ouvertes.fr/hal-02332016
Contributor : Éric Würbel <>
Submitted on : Thursday, October 24, 2019 - 3:47:36 PM
Last modification on : Monday, June 1, 2020 - 4:54:02 PM
Long-term archiving on: : Saturday, January 25, 2020 - 5:04:18 PM

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Eric Würbel, Mohamed Ellefi, Pierre Drap, Laurent Garcia, Fabien Garreau, et al.. Computing Query Answering With Non-Monotonic Rules: A Case Study of Archaeology Qualitative Spatial Reasoning. 5th Global Conference on Artificial Intelligence, Sep 2019, Bolzano, Italy. pp.1-14. ⟨hal-02332016⟩

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