FAQs

No. With Timbr a user can map multiple tables from multiple data sources to the same concept. Therefore, users can leave their data wherever it is and just use Timbr’s data mapping tool to conveniently map data from the various data sources to the ontology model.  

Timbr fully complies with OWL DL (the computable closed world version of OWL). Timbr’s SQL re-write engine is an inference engine that automatically generates queries based on inference rules, including inheritance, transitivity clause and others. Defining inference in Timbr can be done through Timbr’s visual interface or via SQL statements. In addition, Timbr adds capabilities …

Does Timbr integrate an inference engine, and does it work similarly to the inference found in OWL ontologies? Read More »

Timbr can leverage any data catalogs into a knowledge catalog of the business, automatically generating the semantic model. Timbr can also work with the data catalog’s business glossary and the data mappings.

Timbr’s Master Data Management is stored in a git. Users can connect their own git, or instead use the git server that comes with Timbr. All the different tables will be stored in the git. When querying the data later users don’t need to query the git each time, instead, they can cache the data …

Where does Timbr’s master data management take place? Read More »

A virtual semantic graph is a layer that virtually integrates heterogeneous data from many sources and provides a common meaning to linked datasets. It focuses on the relationships between entities, is able to infer new knowledge out of existing information and makes possible advanced graph analytics. Timbr delivers these and additional data management capabilities.

Timbr enables knowledge representation and reasoning – a field of artificial intelligence, in SQL. Timbr’s AI features include: Logical concept/object compositions combining objects or data types into more complex ones. Contextual modeling that enables contextual adaptation required to construct models for classes of real-world phenomena. Composition of semantic relationships. A semantic reasoner that infers knowledge from semantic …

Why is Timbr artificial intelligence (AI)? Read More »

Knowledge representation is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and …

What is knowledge representation? Read More »

Gartner describes the data fabric architecture as the means of supporting “frictionless access and sharing of data in a distributed network environment.” To make this architecture work, it is necessary to implement a means to understand and assembly heterogeneous data by providing it with business meaning and flexibly integrating sources of any structural type. This is …

What are the benefits of a data fabric? Read More »

A knowledge graph is a knowledge base that uses a graph-structured data model or topology to integrate data. Knowledge graphs are often used to store interlinked descriptions of objects, events or concepts with free-form semantics. Knowledge graphs use ontologies to put data in context via linking and semantic metadata providing a framework for data integration, …

What are the uses of Knowledge Graphs? Read More »

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