The term knowledge graph was introduced by Google in 2012 referring to its general-purpose knowledge base, though similar approaches have been around since the beginning of modern artificial intelligence (AI). Today, knowledge graphs are used in anything from search engines and chatbots to product recommenders and autonomous systems. This topic came to us from International Banker in t heir article, “Knowledge Graphs: Powerful Structures Making Sense Of Data.”
In AI, knowledge graphs complement machine learning techniques and provide real-world context to various sources of data.
The technology to collect and integrate data so we can know more about our businesses is being delivered in different ways by a number of products, which adds to the challenge of consistency.
Access Innovations uses our patented software, Data Harmony, to analyze your knowledge base and derive the concepts that define it, whether you have one piece of information or a million. Creating information order and structure is what a taxonomy is all about. Classifying documents and information against the taxonomy increases the likelihood of document discoverability and creating a positive transaction. Data Harmony’s taxonomy and thesaurus editor provides you with intuitive, easy to use tools to create your taxonomy and thesaurus.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
