Semantic technology meets HR

On the Semantic Web, who we are and what we are searching for has never been clearer.

Interpreting the human aspect of search, semantic technology has made it easier for us to find what we are looking for. And it’s also made it easier for us to be found. From finding the best people, to better anticipating employee turnover, HR has much to gain from advances made in semantic technology, and the effects of the Semantic Web.

What is the Semantic Web?

The Semantic Web is "a web of data that can be processed directly and indirectly by machines," as defined by Dr Tim Berners-Lee. Semantic technology is essentially a way of structuring masses of data and assigning meaning to that data.

Applied to search, semantic technology is about determining the meaning behind the terms we use. Like Google’s new Hummingbird algorithm (where users can conduct what the company has coined ‘conversational searches’), technology now contextualises our language, matching content with intent, ultimately connecting us to information most relevant to our needs.

Semantic technology meets HR

For HR and recruitment professionals, that connection to relevant information opens up a world of possibilities.

Semantic search has obvious and immediate benefits for talent sourcing. Matching content to intent helps both the hirer and the candidate find one another. By contextualising competencies and credentials, semantic technology cuts through the data to find its meaning, facilitating faster and more accurate job matches in the process.

Semantic technology assists HR in both attracting and retaining talent. Along with matching jobs and candidates, semantic solutions can structure employee data from multiple internal sources, including payroll, appraisals and test results. This centralising of data allows HR to gain holistic insights on current employees, and leverage those insights to more accurately predict staff movement and hiring needs.

Semantic technology brings meaningful data to the HR professional, and enables you to focus on using the information, rather than sourcing it. The human in human resources will always be essential to talent management – semantic technology simply untangles the web of data available, making the machine a smarter, more useful tool for humans to use.
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Duncan Norman


Senior Product Manager

Duncan Norman has day-to-day responsibility for connecting candidates with relevant jobs and hirers with relevant candidates, across Australia and New Zealand. In his role, he manages the product strategy and teams focussed on structured data,...

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