منابع مشابه
Statistical Learning for Inductive Query Answering on OWL Ontologies
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Recently, the database and AI research communities have paid increased attention to ontologies. The main motivating reason is that ontologies promise solutions for complex problems caused by the lack of a good understanding of the semantics of data in many cases. In particular, ontologies have extensively been used to overcome the interoperability problem during the integration of heterogeneous...
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We investigate the size of conjunctive query rewritings over OWL2QL ontologies of depth 1 and 2 by means of a new formalism, called hypergraph programs, for computing Boolean functions. Both positive and negative results are obtained. All conjunctive queries over ontologies of depth 1 have polynomial-size nonrecursive datalog rewritings; tree-shaped queries have polynomial-size positive existen...
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The goal of query expansion is to reduce the mismatch between documents and queries by expanding the query using words or phrases with a similar meaning or some other statistical relation to the set of relevant documents. One of the limitations with query expansion techniques is that a query is often expanded only by the linguistic features of terms. To tackle this problem, we propose a novel s...
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With the current upward trend in semantically annotated data, ontology-based data access (OBDA) was formulated to tackle the problem of data integration and query answering, where an ontology is formalized as a description logic (DL) TBox. In order to meet usability requirements set by users, efforts have been made to equip OBDA system with explanation facilities. One important explanation tool...
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ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2020
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v34i03.5688