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Conference Papers Year : 2019

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

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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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Dates and versions

hal-02332016 , version 1 (24-10-2019)

Identifiers

  • HAL Id : hal-02332016 , version 1

Cite

Eric Würbel, Mohamed Ben 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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