RAVN’s Knowledge Graph® technology unlocks the potential from within your knowledge base, surfacing the information you knew was there but more importantly, exposing the hard-won and potentially valuable content of which you were unaware.
Traversing Enterprise Content
Clarify, Classify, Link
Knowledge Graph® in Action
An example in the rich media sector sees Knowledge Graph® identifying guests that appeared on a popular US late night television show, classifying them, appending supporting information about each of them from external sources and showing the inter-relationships between the guests. This enabled the client to quickly discover from thousands of hours of video content, parallel threads and similarities between individuals that had been on the show, both for research purposes but also to support the commercial operation selling portions of the show to their customers.
Every knowledge element in your Enterprise, including conventional documents, people, clients, rich media files, concepts, categories, discussion threads and so on, are treated as ‘knowledge nodes’. The Knowledge Graph® technology establishes the explicit and implicit links between these nodes. The Knowledge Graph® can create taxonomies from these relationships, but can also classify and organise all the data within an organisation and piece together the relationships between people, content, concepts and categories, news items and opportunities, allowing you to surface and link results in a multitude of ways, including pictorially, which enables users to navigate and explore the information in an entirely new way.
RAVN’s Knowledge Graph® technology can be visualised using different navigation tools. Exploring data in a graph can bring back results the user did not expect or answers questions a user never thought of asking. The results can also be displayed in the search result set, by showing all the information that is known about a certain knowledge node. E.g. in the rich media case mentioned above, starting with Ronald Reagan, the Knowledge Graph® technology can display the interrelationships between presidents, assassinations or attempts on public figures such as Martin Luther King Jr and from there, links to other inspirational people such as Nelson Mandela, all of whom appeared on the show during its long history.
Graph Based Search
Because Knowledge Graph® is built on the unique RAVN Core technology, it is possible to construct human-readable complex queries that combine graph-based and full text search terms, for example, find “Documents which include a customer name field where the customer brings in more than £1 million of revenue and are located in London”.
Benefits of RAVN’s Knowledge Graph
Provides a client-centric view of information held in a plethora of content sources, powering a responsive client-facing customer experience.
Identify Hidden Opportunities
Delivering a business development perspective by identifying potential opportunities within your existing or targeted clients, based on real-time analysis of latest news and industry activity, that you otherwise might have missed or been beaten to by a competitor.
Supporting Human Resource assessments through efficiently collating and linking records to provide employee-centric views.
Enabling Enterprise-wide Knowledge Management through a more dynamic method of browsing and navigating the entire knowledge base, to quickly get to the right people at the right time, making the difference between winning and coming a close second.
Collaboration and Networking
Promotes Enterprise-wide collaboration and networking.
Provides rapid, efficient and visualised navigation of the entire knowledge base and if you don’t have the answer it efficiently shows you who is in “the know”.