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SEMANTICS

Searching for business-critical information locked in content and documents is often an imprecise process. Because humans are often imprecise. Traditional search engines aren’t able to understand the meaning – which is to say the semantics – of user searches. And while we may struggle to think like machines, thanks to semantics, machines can start to think like us.

Eliminating effort through precision

A semantic approach indexes content within documents with search terms relevant to that document, which in turn give context to what users are looking for and deliver more precise results – saving time and ultimately money.

Semantics-based solution for Hays Recruitment

To maintain and extend its competitive advantage, Hays Recruitment needed an improved web experience for job seekers across 27 countries and 35 languages. We designed a semantics-driven website and integrated it with 450 job boards. As a result, posting vacancies takes a fraction of the time, traffic to the site increased and candidate placement improved.

iCE Ontology

Intelligently classifying web content, documents, spreadsheets and other digital assets on a budget, without the need to administer bespoke tools can seem like a daunting task. That’s why we have developed iCE (Infomentum Classification Engine) Ontology to give our customers a cost effective classification capability.

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Products

If your organisation has an Oracle solution, then we can help you get the maximum return on your investment. We have proven in-depth knowledge of leading information management vendor software stacks.

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Document Management

Today’s organisations are creating more documents than ever before. Essential customer records, presentations, emails, purchase orders, invoices, contracts – the list is endless. As is the value locked in that content.

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Semantics

Searching for business-critical information locked in content and documents is often an imprecise process. Because humans are often imprecise. Traditional search engines aren’t able to understand the meaning – which is to say the semantics – of user searches. And while we may struggle to think like machines, thanks to semantics, machines can start to think like us.

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Enterprise Search

Organisations are creating and storing more data and content than ever before. But, all of that information is useless unless you can find what you need when you need it.

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