Abstract
The Resource Description Framework (RDF) is one of the major representation standards for the Semantic Web. RDF Schema (RDFS) is used to describe vocabularies used in RDF descriptions.
Recently, there is an increasing interest to express additional information on top of RDF data. Several extensions of RDF were proposed in order to deal with time, uncertainty, trust and provenance. All these specific domains can be modeled by a general framework called annotated RDF data [3][5]. A recent work reported millions of triples with temporal information [1] and the number is still increasing. It is reasonable to expect more annotated RDF triples to be handled by semantic web applications. Therefore scalability will become an important issue for these applications.
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Liu, C., Qi, G. (2012). Toward Scalable Reasoning over Annotated RDF Data Using MapReduce. In: Krötzsch, M., Straccia, U. (eds) Web Reasoning and Rule Systems. RR 2012. Lecture Notes in Computer Science, vol 7497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33203-6_23
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DOI: https://doi.org/10.1007/978-3-642-33203-6_23
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