Use IBM Watson™ Knowledge Studio to create a machine-learning model that understands the linguistic nuances, meaning, and relationships specific to your industry or to create a rule-based model that finds entities in documents based on rules that you define.
To become a subject matter expert in a given industry or domain, Watson must be trained. You can facilitate the task of training Watson with Watson™ Knowledge Studio.
Watson Knowledge Studio provides easy-to-use tools for annotating unstructured domain literature, and uses those annotations to create a custom machine-learning model that understands the language of the domain. The accuracy of the model improves through iterative testing, ultimately resulting in an algorithm that can learn from the patterns that it sees and recognize those patterns in large collections of new documents. You can deploy the finished machine-learning model to other Watson cloud-based offerings and cognitive solutions to find and extract mentions of relations and entities, including entity coreferences.
The following diagram illustrates how it works.
See Creating a machine-learning annotator for more details.
Watson Knowledge Studio provides a Rules editor that simplifies the process of finding and capturing common patterns in your documents as rules. You can then create a model that recognizes the rule patterns, and deploy it for use in other services.
See Creating a rule-based annotator for more details.
Share domain artifacts and models between IBM Watson™ Knowledge Studio and other Watson services.
Use Watson Knowledge Studio to perform the following tasks: