Knowledge Base Exchange: The Case of OWL 2 QL

Marcelo Arenas, Elena Botoeva, Diego Calvanese, and Vladislav Ryzhikov

Artificial Intelligence. 238:11--62 2016.

In this article, we define and study the problem of exchanging knowledge between a source and a target knowledge base (KB), connected through mappings. Differently from the traditional database exchange setting, which considers only the exchange of data, we are interested in exchanging implicit knowledge. As representation formalism we use Description Logics (DLs), thus assuming that the source and target KBs are given as a DL TBox+ABox, while the mappings have the form of DL TBox assertions. We define a general framework of KB exchange, and study the problem of translating the knowledge in the source KB according to the mappings expressed in OWL 2 QL, the profile of the standard Web Ontology Language OWL 2 based on the description logic DLLiteR . We develop novel game- and automata-theoretic techniques, and we provide complexity results that range from NLogSpace to ExpTime.

   title = "Knowledge Base Exchange:  The Case of OWL 2 QL",
   year = "2016",
   author = "Marcelo Arenas and Elena Botoeva and Diego Calvanese and
Vladislav Ryzhikov",
   journal = "Artificial Intelligence",
   pages = "11--62",
   volume = "238",
   doi = "10.1016/j.artint.2016.05.002",
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