Conflict-Based Inconsistency-Tolerant Query Answering
نویسندگان
چکیده
In this paper, we place ourselves in the context of inconsistency-tolerant query answering over lightweight ontologies, which aims to a set conflicting facts using an ontology that represents generic knowledge about particular domain. Existing semantics typically consist selecting some (maximal) consistent subsets facts, called repairs. We explore novel strategy select most relevant repairs based on stratification assertional base into priority levels automatically induce from ontology. propose method exploits conflict statistical regularities between embedding, each fact is represented by vector. Based Euclidean distances classify assertions reliable least important ones. then use these define Interestingly enough, show obtained repair done polynomial time.
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ژورنال
عنوان ژورنال: Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
سال: 2022
ISSN: ['2334-0762', '2334-0754']
DOI: https://doi.org/10.32473/flairs.v35i.130702