Using knowledge graphs and search for decision intelligence
Connecting the dots between the data and the business world is now easier than ever before with the help of knowledge graphs and machine learning.
With newer technologies, the digital workplace can dramatically improve employee engagement, data-driven decisions, and actions that serve tangible business objectives.
KMWorld recently held a webinar with Justin Sears, VP product marketing, Lucidworks, and Karl Hampson, director of artificial intelligence, Office of the CTO, Solstice, who provided a deep dive into knowledge graphs and where they fit in the ML landscape.
Knowledge graphs create a human readable network of facts, Sears said. Knowledge graphs describe real-world entities and their relationships (e.g. objects, places, events).
In 2012 Google introduced “Things not Strings” knowledge graph application and now there are many solutions and tools emerging.
Knowledge graphs and search go hand in hand, according to Sears and Hampson. A search index contains many mentions of things, people, places, and events with implied relationships. A semantic knowledge graph extracts and navigates them dynamically.
Traditionally natural language processing (AI) can help analyze text to populate KGs automatically with facts in the form subject-predicate-object. This can be a highly complex process, said Sears and Hampson.
A semantic knowledge graph (SKG) of conceptually similar things, derived automatically from indexed data by analyzing the implicit links between the ‘things’ across the corpus.
The benefits of SKGs include:
- More than keyword search – move beyond matching just words in searches to things and related things.
- Automatically derive insights – discover connections and provide thing-based navigation of unstructured data.
- Automatic recommendations – for a given thing, suggest other things.
- Predictive analytics – for a given thing, predict the importance of other things and the likelihood of specific outcomes.
SKGs can help connect users and employees to the most relevant information they need to make better and faster decisions in the real world, Sears and Hampson said.
An archived on-demand replay of this webinar is available here.