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Unearth the context in your organisation's data

Extract real-world knowledge from your data with Datavid's ontology management solutions.


Datavid ontology manegement solutions

Helping world-class organisations implement ontologies

  • syngenta datavid customer
  • roche datavid customer
  • department of levelling up housing and communities datavid customer
  • standards australia datavid customer
  • american chemical society datavid customer
  • medical protection society datavid customer
  • smith and nephew datavid customer
  • abbvie datavid customer
  • healx datavid customer
  • progress marklogic datavid partner

As your business evolves, so does your data.

The more data you capture, the more it should tie back to business logic and complex real-world concepts—with logical methods to organise information.

Datavid has decades of combined experience and expertise to structure your data using ontologies in intuitive yet powerful ways.

Spot missing pieces in a larger puzzle

Datavid's ontology  management brings each piece of the data puzzle together into a single, unified view of your organization's knowledge.

Revive and leverage legacy data

"Old" doesn't mean useless. A lot of data locked up in silos is useful, but lost to time. Ontologies help you unearth the business value in it.

Unearth new domain knowledge

Implementing ontologies means potentially unearthing entirely new knowledge within  your organization's domain.

You bring in the domain knowledge, we do the rest.   

Datavid has expertise in RDF, OWL, XML, triples, and most databases capable of dealing with ontologies, like MarkLogic. All we need to get started are your organisation's business goals and knowledge.

Datavid helps you discover information easily

Discover information easily

Ensure that rich information is easy to access and discover all that's available to you. Datavid employs technologies like OWL and RDF to build ontologies that help you extract and aggregate real-world information—responding to user queries in more contextual ways.

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Share domain knowledge

Datavid helps you create ontologies to share domain knowledge easily and establish a common domain vocabulary across applications. You can then leverage these concepts to develop better experiences for customers, employees, or any relevant stakeholder.

Datavid helps you share domain knowledge
Datavid helps you govern data intelligently

Govern data intelligently

Datavid enables effective data governance and discovery by linking varied data formats and enriching them based on your ontologies, giving you all the related metadata in a nicely-packaged format, accessible either via a user interface or API depending on your needs.

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Extracting knowledge from decades of data

With almost 50 thousand team members spread across the globe, Syngenta is a powerhouse in farming and agrochemicals—a dominant leader in many of its applications worldwide.

Syngenta came to Datavid with a huge challenge to solve: indexing more than 16 million files spread across dozens of data sources which contained decades worth of siloed knowledge.

Datavid developed a semantic data platform for Syngenta, with the capability to index and retrieve specific agrochemical concepts extracted from "foam tree" ontologies.

The result was a drastic reduction in research time from several weeks to just a few hours, enabling research across a vast body of knowledge previously unavailable to the R&D team.

Read the full case study →

Datavid helped syngenta extract knowledge from decades of data


Datavid is helping Syngenta's scientists identify concepts that are relevant to their research more quickly, ultimately saving time and effort on a weekly basis.

Graham Mullier


Your questions. Answered.

Ontology management refers to the process of creating, organising, updating, and maintaining ontologies, which are structured representations of knowledge or concepts in a specific domain. It involves tasks such as defining ontology structures, adding and revising terms, and ensuring consistency and interoperability within a knowledge system or database.

In business, ontology typically refers to a formal representation of the concepts, categories, and relationships that define the structure of a specific industry or domain. It helps businesses better understand and manage their data, processes, and knowledge within that context, enabling improved decision-making and information management.

In the field of e-commerce, an ontology could be created to represent product data. It might include concepts like "product," "category," "brand," "price," and "customer reviews." The ontology would define the relationships between these concepts, such as "a product belongs to a category" and "a brand is associated with multiple products." This ontology could be used to standardise product information across different e-commerce platforms, making it easier for customers to search for products, compare prices, and make informed purchasing decisions.

Take your organisation's data practices to new heights

datavid akbar ali data engineer