Table 1: Comparing Ontology Languages—RDFS, OWL-1.0, and OWL-2.0. S# Description Construct RDFS 1 Class definition rdfs:Class Class-instance specification 2 rdf:type 3 Subsumption relationships rdfs:subClassOf rdfs:subPropertyOf Domain and range qualifiers 4 rdfs:domain rdfs:range 5 Construct for concept descriptions × owl:intersectionOf × owl:unionOf × owl:complementOf 6 Properties × owl:transitiveOf × owl:inverseOf × owl:symmetric × owl:functional × inverseFunctional Existential Quantification 7 × owl:someValuesFrom × owl:allValuesFrom 8 Advanced options × × owl:reflexive × × owl:irreflexive × × owl:asymmetric × × owl:disjoint Data types specification 9 × × - 10 Profiles × × OWL-EL++ × × OWL-RL × × OWL-QL 11 Horn-like rules × × SWRL Inference 12 Modular design and extraction × × - In recent years, NoSQL only systems have emerged as a substitute for classical (for “not SQL”) DBMSs to persistently store and query RDF data. In simple terms, NoSQL systems store unstructured data in a highly efficient and flexible key-value format. However, RDF data requires more specialized features to process graph data, thereby a graph-based data model is recently proposed for NoSQL systems for the efficient processing of RDF data . Notable based NoSQL systems are Oracle NoSQL, Apache Cassandra, Voldemort, and MongoDB, among others.
Table 1: Comparing Ontology Languages—RDFS, OWL-1.0, and OWL-2.0. S# Description Construct RDFS 1 Class definition rdfs:Class 2 Class-instance specification rdf:type 3 Subsumption relationships rdfs:subClassOf rdfs:subPropertyOf 4 Domain and range qualifiers rdfs:domain rdfs:range 5 Construct for concept descriptions owl:intersectionOf × owl:unionOf × owl:complementOf × 6 Properties owl:transitiveOf × owl:inverseOf × owl:symmetric × owl:functional × inverseFunctional × 7 Existential Quantification owl:someValuesFrom × owl:allValuesFrom × 8 Advanced options owl:reflexive × × owl:irreflexive × × owl:asymmetric × × owl:disjoint × × 9 Data types specification - × × 10 Profiles OWL-EL++ × × OWL-RL × × OWL-QL × × 11 Horn-like rules SWRL Inference × × 12 Modular design and extraction - × × In recent years, NoSQL (for “not only SQL”) systems have emerged as a substitute for classical DBMSs to persistently store and query RDF data. In simple terms, NoSQL systems store unstructured data in a highly efficient and flexible key-value format. However, RDF data requires more specialized features to process graph data, thereby a graph-based data model is recently proposed for NoSQL systems for the efficient processing of RDF data . Notable NoSQL systems are Oracle NoSQL, Apache Cassandra, Voldemort, and MongoDB, among others. based