No knowledge, no AI
No knowledge, no AI? If you want meaningful results from an AI or ML project, then make sure your data house is in order – data, metadata, content & their curation – otherwise you are just fuelling your systems with your past mistakes. Of course, it may be an expensive way of doing it, but…
Know your content
Do you ‘know your content’? Organisations typically only ‘know’ 20% of their digital content. Your searchable content may not be as large as Google’s, but 80% of your digital estate is still a lot of knowledge value going begging! Sir Tim Berners-Lee proposed semantics as a way of applying logic to the vastness of the…
Knowledge strategy
Why you need our knowledge strategy workshop Most organisations possess 80% unstructured content, most of which is under-utilised because it is not understood; is too big to easily or effectively search; is split amongst applications causing downstream integration costs; is difficult to govern reliably or manage cost-effectively. That’s 80% of your digital estate which is…
Knowledge services
Knowledge is inferred using semantic & application metadata, structured by an ontology. Knowledge graphing applies probabilistic, automated reasoning to determine meaning from semantically-described content, through its context & relationship predicates as defined by a domain ontology, linking object & subject. The ontology is an evolving neural web: mapping & ranking the inferred perspectives to cohere…
Graphing knowledge
A knowledge graph can be thought of as a search engine on steroids, though its application goes well beyond that to chatbots, product recommenders and autonomous systems. Semantics make it possible for the knowledge graph to carry out probabilistic analysis of content: ranking meaning against search criteria on the basis of salience referenced against various…
Semantics, the human perspective
Semantics is the logic of meaning and how referential relationships inform that. Concepts using natural language are the basis of the semantic model, an ontology which sets out this logic and ensures consistency of meaning. Semantic tags reflect imaginative human concepts & vocabulary, not the linear machine terminology of applications. They should reflect how the…
Meaningful domain
The term ‘ontology’ (which can be off-putting) is understood as ‘the study of being’ or the ‘logic of existence’. In this context, it applies to content – why does this content exist? The ontology acts as the organising mind: a generalisable framework for understanding entities, their context & relationships, using semantic tags. It is an…