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- Title
Temporal Minimal-World Query Answering over Sparse ABoxes.
- Authors
BORGWARDT, STEFAN; FORKEL, WALTER; KOVTUNOVA, ALISA
- Abstract
Ontology-mediated query answering is a popular paradigm for enriching answers to user queries with background knowledge. For querying the absence of information, however, there exist only few ontology-based approaches. Moreover, these proposals conflate the closed-domain and closed-world assumption and, therefore, are not suited to deal with the anonymous objects that are common in ontological reasoning. Many real-world applications, like processing electronic health records, also contain a temporal dimension and require efficient reasoning algorithms. Moreover, since medical data are not recorded on a regular basis, reasoners must deal with sparse data with potentially large temporal gaps. Our contribution consists of two main parts: In the first part, we introduce a new closed-world semantics for answering conjunctive queries (CQs) with negation over ontologies formulated in the description logic $${\mathcal E}{\mathcal L}{{\mathcal H}_ \bot }$$ , which is based on the minimal canonical model. We propose a rewriting strategy for dealing with negated query atoms, which shows that query answering is possible in polynomial time in data complexity. In the second part, we extend this minimal-world semantics for answering metric temporal CQs with negation over the lightweight temporal logic and obtain similar rewritability and complexity results.
- Subjects
DESCRIPTION logics; ELECTRONIC health records; POLYNOMIAL time algorithms; ONTOLOGIES (Information retrieval); NONMONOTONIC logic; KNOWLEDGE representation (Information theory); NEGATION (Logic)
- Publication
Theory & Practice of Logic Programming, 2022, Vol 22, Issue 2, p193
- ISSN
1471-0684
- Publication type
Article
- DOI
10.1017/S1471068421000119