Among the 49 subjects included in the analysis, 2,246 scheduled observations of timed RDFS were recorded.
RDFSs were compared with the FSS and MFIS measurements obtained at the visit after the 3-week period of pretreatment baseline monitoring with the RDFS complete.
To demonstrate statistical reliability of the RDFS, we assessed and compared ICCs between the FSS, MFIS, and RDFS.
The main contributions of this paper are: (1) an efficient representation of RDF documents based on the directed hyper-graph formal model, (2) an analysis of the expressive power of the directed hyper-graph model, (3) a formal space complexity study of the proposed representation to store RDF documents, (4) query answering algorithms that exploit the properties of the directed hyper-graphs, and (5) an empirical study of the impact of our approach on the task of query answering.
Section 2 describes the existing approaches to represent the RDF data model, including their limitations.
An RDF document can be represented as a graph, where each node is a resource and each arc represents a property.
In Section 2 a brief concept of a RDF data model and the previous approaches for managing RDF data are described.
In this section, we briefly overview the RDF specifications and define the RDF data model.
RDF is a language for describing semantic metadata about resources in the Web [1].
RDF's foundations are built on a very simple model, but the basic logic can support large-scale information management and processing in a variety of different contexts.
In 1999, the first recommended RDF specification, the RDF Model and Syntax Specification(RDF M&S), again coauthored by Ora Lassila and Ralph Swick, was released.
As efforts proceeded on the RDF specification, discussions continued about the concepts behind the Semantic Web.