Toward scalable reasoning over annotated RDF data using mapreduce

Authors:
Chang Liu;Guilin Qi
Affiliations:
Shanghai Jiaotong University, China;Southeast University, China
Venue:
RR'12 Proceedings of the 6th international conference on Web Reasoning and Rule Systems
Year:
2012

Citing 4
Cited 0

Annotated RDF

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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 annotatedRDF 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.