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Acquiring Ontology Axioms through Mappings to Data Sources

1
Microsoft
2
DIAG, Sapienza Università di Roma, Via Ariosto, 25, 00185 Roma, Italy
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Author to whom correspondence should be addressed.
This paper is an extended version of the paper entitled “Ontology-Based Data Access with Dynamic TBoxes in DL-Lite”, presented at AAAI 2012, Toronto, ON, Canada, 22–26 July 2012.
Future Internet 2019, 11(12), 260; https://doi.org/10.3390/fi11120260
Received: 11 September 2019 / Revised: 4 December 2019 / Accepted: 5 December 2019 / Published: 13 December 2019
Although current languages used in ontology-based data access (OBDA) systems allow for mapping source data to instances of concepts and relations in the ontology, several application domains need more flexible tools for inferring knowledge from data, which are able to dynamically acquire axioms about new concepts and relations directly from the data. In this paper we introduce the notion of mapping-based knowledge base (MKB) to formalize the situation where both the extensional and the intensional level of the ontology are determined by suitable mappings to a set of data sources. This allows for making the intensional level of the ontology as dynamic as the extensional level traditionally is. To do so, we resort to the meta-modeling capabilities of higher-order description logics, in particular the description logic Hi ( DL-Lite R ) , which allows seeing concepts and relations as individuals, and vice versa. The challenge in this setting is to design efficient algorithms for answering queries posed to MKBs. Besides the definition of MKBs, our main contribution is to prove that answering instance queries posed to MKBs expressed in Hi ( DL-Lite R ) can be done efficiently. View Full-Text
Keywords: ontology-based data access; higher-order description logics; DL-Lite; query answering ontology-based data access; higher-order description logics; DL-Lite; query answering
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Di Pinto, F.; De Giacomo, G.; Lembo, D.; Lenzerini, M.; Rosati, R. Acquiring Ontology Axioms through Mappings to Data Sources. Future Internet 2019, 11, 260.

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