Watson Explorer gives the business user the ability to search and explore diverse content repositories by creating an index of enterprise data. Watson Explorer is specifically suited for Big Data solutions since its indexing technology can handle massive volumes of information in a variety of forms. Watson Explorer 10.0 includes Foundational Components (formerly known as Data Explorer) and Analytical Components (formerly known as Watson Content Analytics).

Foundational Components

Position-based indexing technologyReal-time queries to non-indexed data sourcesConfigure custom query expansion and results relevancyApplication Builder for creating a 360˚ view of an entity

Field-level access control

Analytical Components

Watson Content Analytics Miner allows users to explore structured and unstructured data for interesting trends and anomaliesWatson Content Analytics Studio for developing custom NLP pipelines using the Unstructured Information Management Architecture (UIMA)

Compatible with IBMs Advanced Care Insights for healthcare clients, which includes unstructured text annotators for clinical documents

Document Collections

Crawlers: extract text content and metadata from data sources Indexers: highly optimized index of parsed documents for analysis

Clustering: document subsets that are automatically classified based on the similarity of extracted words

Facets: different views (combinations of fields) of documents in a collection

Collaboration: tag, comment, organize and rate content to enhance navigation and discovery results

Query Routed Navigation and Discovery

Access to enterprise applications such as content management systems, customer relationship management systems, supply chain management, e-mail systems, relational database management systems, web pages, and networked file systems

Access to Non-Indexed Systems

Access to non-indexed systems such as premium information services, supplier and partner portals and catalogs, and legacy applicationsResults from these non-indexed sources can be merged with results from the Watson Explorer Engine index or kept separate

Sophisticated Security Model

Cross-domain and field-level security to ensure that users only see content they would be able to view if logged into the source applicationData encryption is used to encode the authentication data portion of all messages that are transmitted through the system and all user profiles and passwords that are stored by the system (in configuration files, the internal databases, and so on).

Advanced Analytics

Clustering, categorization, entity and metadata extraction, faceted navigation, conceptual search, name matching and document de-duplication

Distributed Architecture

Fault-tolerance, vertical and horizontal scalability, master-master replication and shared deployment

Interested in how IMT can help you leverage the potential in your enterprise data?