Semantic Repository

Semantic repositories integrate the characteristics of inference engines and DBMS, and they function much like Web servers. Therefore, they can store, understand and serve requests from numerous users to substantial volumes of data.

Some of the major characteristics of semantic repositories are as follows:

• Simple incorporation of numerous data sources
• Simple and quick querying against diverse or rich data schemata
• Significant analytical power that uncovers facts determined by interlinking long-chain evidences
• Highly effective data interoperability

Semantic repositories can be used to fulfill various goals, such as:

• Managing significant volumes of data
• Accelerating loading, indexing and modification of data
• Enabling quicker query analysis, or faster management of a single complex query
• Enabling improved management of massive user volume and concurrent query loads
• Enabling failover
  

Sesame is a well-known semantic repository that supports RDF(S) and all query languages and key syntaxes associated with it. OWLIM is another popular semantic repository, which is offered as an inference and storage layer for Sesame. OWLIM works by using the TRREE engine to blend OWL DLP, RDFS, and OWL Horst support with superior analytics and dependable tolerance strategy.