MarkLogic Semantic Layer

One query searches across data silos

Smartlogic and MarkLogic are the premier choice for the world’s leading organizations as they combine structured and unstructured data to answer big questions and solve big problems. Saavy organizations are gaining a competitive advantage by improving their speed to market for new products, acquiring insight into their business, finding archived information and quickly building applications with the knowledge spread across the organization in a single query. By bringing the power of the Semantic Web in-house, they've freed the organization of the costs and restrictions associated with relational systems, data modeling and schemas. 

The Benefits of a Semantic Platform 

A robust semantic platform can be used to solve very complex problems that traditional technologies cannot. Organizations are using the combination of Smartlogic and MarkLogic as a semantic platform to get better answers from today’s data, creating an intelligent data layer that powers smarter applications. Some of the specific benefits you can achieve include the following: 

  • Extract more value from your content – Use text mining to automatically extract concepts, entities, and facts such as people, places, and things. This data is contained in unstructured data but can be extracted and stored as triples. As triples, the data can be indexed and searched in real-time.
  • Make sense of your data in context – Provide context through the use of ontologies. Even if the data is not natively stored as RDF, it can be semantically enriched so that a user can discover facts and information more intuitively.  
  • Aggregate and link disparate data sources – Store your data natively as RDF triples, and use triples as the glue to link documents. You can also use triples to "decorate" existing data with annotations that describe it. 
  • Provide more relevant search – Enable granular searches such as, "everything an analyst said about a company in relation to an employee that worked there at a specific time” or do a general search for “kind of what you are looking for” and get accurate, relevant results.
  • Discover new relationships – Create inferences (i.e. new triples) based on existing data using rule-based reasoning across hundreds of billions of triples, and visualize relationships to discover new insights.
  • Create triples
  • Query data and content together
  • Search across data stores and types

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