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2019 | OriginalPaper | Chapter

Identity Resolution in Ontology Based Data Access to Structured Data Sources

Authors : David Toman, Grant Weddell

Published in: PRICAI 2019: Trends in Artificial Intelligence

Publisher: Springer International Publishing

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Abstract

Earlier work has proposed a notion of referring expressions and types in first order knowledge bases as a way of more effectively answering conjunctive queries in ontology based data access (OBDA). We consider how PTIME description logics can be combined with referring expressions to provide a more effective virtual front-end to nested relational data sources via OBDA. In particular, we consider replacing the standard notion of an assertion box, or ABox, with a more general notion of a concept box, or CBox, and show how this can serve as a front-end to such data sources.

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Footnotes
1
This constitutes a minimal condition for capturing when one violates an inclusion dependency of the form \({``\,}C_1 \sqsubseteq C_2:\mathop {\mathsf {Pf}}\nolimits _1,\ldots ,\mathop {\mathsf {Pf}}\nolimits _k\rightarrow \mathop {\mathsf {Pf}}\nolimits _0{''\,}.\)
 
4
Here, we translate “phone” fields of documents as roles that are reified, in the sense outline above, in order to enable different people to share phones.
 
Literature
1.
go back to reference Borgida, A., Toman, D., Weddell, G.: On referring expressions in query answering over first order knowledge bases. In: Proceedings of KR 2016, pp. 319–328 (2016) Borgida, A., Toman, D., Weddell, G.: On referring expressions in query answering over first order knowledge bases. In: Proceedings of KR 2016, pp. 319–328 (2016)
3.
go back to reference Jacques, J.S., Toman, D., Weddell, G.E.: Object-relational queries over \({\cal{CFDI}_{nc}}\) knowledge bases: OBDA for the SQL-Literate. In: Proceedings of International Joint Conference on Artificial Intelligence, IJCAI, pp. 1258–1264 (2016) Jacques, J.S., Toman, D., Weddell, G.E.: Object-relational queries over \({\cal{CFDI}_{nc}}\) knowledge bases: OBDA for the SQL-Literate. In: Proceedings of International Joint Conference on Artificial Intelligence, IJCAI, pp. 1258–1264 (2016)
4.
go back to reference McIntyre, S., Borgida, A., Toman, D., Weddell, G.: On limited conjunctions and partial features in parameter-tractable feature logics. In: Proceedings of AAAI Conference on Artificial Intelligence 2019, Honolulu, HI, USA (2019, in press) McIntyre, S., Borgida, A., Toman, D., Weddell, G.: On limited conjunctions and partial features in parameter-tractable feature logics. In: Proceedings of AAAI Conference on Artificial Intelligence 2019, Honolulu, HI, USA (2019, in press)
6.
go back to reference Toman, D., Weddell, G.E.: On the interaction between inverse features and path-functional dependencies in description logics. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pp. 603–608 (2005) Toman, D., Weddell, G.E.: On the interaction between inverse features and path-functional dependencies in description logics. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pp. 603–608 (2005)
7.
go back to reference Toman, D., Weddell, G.E.: On keys and functional dependencies as first-class citizens in description logics. J. Autom. Reason. 40(2–3), 117–132 (2008)MathSciNetCrossRef Toman, D., Weddell, G.E.: On keys and functional dependencies as first-class citizens in description logics. J. Autom. Reason. 40(2–3), 117–132 (2008)MathSciNetCrossRef
Metadata
Title
Identity Resolution in Ontology Based Data Access to Structured Data Sources
Authors
David Toman
Grant Weddell
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-29908-8_38

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