Sentence examples for predicate object from inspiring English sources

We have implemented an RDF persistence framework that converts java object instances into sets of RDF triplets of the form (subject, predicate, object).

In particular, Stream Reasoning utilises and benefits from the following Semantic Web technologies: Resource Description Framework (RDF), as a uniform format for representing streamed heterogeneous data as a collection of (subject, predicate, object) triples using a vocabulary defined in an OWL ontology; OWL ontologies and SWRL rules, as a source of static background knowledge.

A combination in the form of (subject, predicate) or (predicate, object) is regarded as a term.

A sentence and a term An RDF statement, i.e. a tuple of (subject, predicate, object), is defined as a sentence.

A BEL Statement (see Fig. 3) is designed as a semantic triple (subject, predicate, object) to represent discrete scientific findings and their relevant contextual information as qualitative causal relationships.

The core sentence elements are Subject, Predicate, Object (Just like those in English!); Other elements accompanying noun, verb and sentence: Attributive, Adverbial, Complement.

SemMedDB is a repository of semantic predications (subject-predicate-object triples) extracted from the entire set of PubMed citations with SemRep.

Several years later, they presented SemMedDB, a repository of semantic predications (subject-predicate-object triples) extracted from the entire set of PubMed citations [ 6].

Fig. 22 O-A-V (subject-predicate-object) extraction.

In RDF, entities, their relations and properties are described with simple subject-predicate-object triples.

In RDF, the fundamental unit of information is the subject-predicate-object tuple or "triple".