OpenText Content Metadata Service - Dictionary - OpenText Magellan Text Mining Engine Integration and Automation

Common Integration Use Cases Between OpenText Content Metadata Service - Dictionary and OpenText Magellan Text Mining Engine

1. Standardized Entity and Topic Metadata Enrichment

Data flow: OpenText Magellan Text Mining Engine ? OpenText Content Metadata Service - Dictionary

Magellan extracts entities, topics, and relationships from documents such as contracts, case files, emails, and reports. Those extracted values are then mapped to governed metadata fields in the Content Metadata Service - Dictionary so they can be stored consistently across repositories. This ensures that terms like customer names, jurisdictions, risk categories, and subject areas are classified using approved vocabularies rather than free text.

Business value: Improves search precision, reporting consistency, and downstream automation by turning unstructured content into standardized metadata.

2. Controlled Vocabulary Management for Text Mining Models

Data flow: OpenText Content Metadata Service - Dictionary ? OpenText Magellan Text Mining Engine

The Dictionary provides the authoritative list of approved metadata values, such as industry codes, case types, product families, and regulatory categories. Magellan uses these controlled vocabularies to align extraction outputs with enterprise standards, reducing synonym drift and inconsistent tagging across teams and business units.

Business value: Reduces manual cleanup and improves the reliability of analytics, compliance reviews, and content classification workflows.

3. Compliance and Legal Hold Classification

Data flow: OpenText Magellan Text Mining Engine ? OpenText Content Metadata Service - Dictionary

Magellan scans large volumes of correspondence, investigation files, and policy documents to identify references to regulated topics, legal entities, obligations, and sensitive events. The extracted findings are written into governed metadata fields in the Dictionary, enabling consistent classification for legal hold, retention, and compliance monitoring processes.

Business value: Speeds up review cycles, supports defensible governance decisions, and helps compliance teams prioritize high-risk content faster.

4. Enterprise Search Indexing with Semantic Tags

Data flow: OpenText Magellan Text Mining Engine ? OpenText Content Metadata Service - Dictionary

Magellan analyzes document collections and generates semantic tags such as subject matter, sentiment, risk indicators, and named entities. These tags are stored using the Dictionary?s standardized metadata schema and then used by content platforms to improve faceted search, filtering, and discovery across ECM and DAM repositories.

Business value: Makes large content libraries easier to navigate and reduces time spent searching for relevant documents.

5. Investigation Case File Structuring

Data flow: OpenText Magellan Text Mining Engine ? OpenText Content Metadata Service - Dictionary

In fraud, security, or internal investigation scenarios, Magellan extracts relationships between people, organizations, events, and dates from unstructured evidence. The results are normalized into the Dictionary so case files can be organized using a consistent metadata model across investigators, regions, and departments.

Business value: Improves case consistency, supports cross-team collaboration, and enables faster evidence correlation and reporting.

6. Metadata-Driven Analytics for Content Risk and Trends

Data flow: Bi-directional

Magellan identifies patterns in content such as recurring issues, emerging topics, or high-risk language. The Dictionary ensures those insights are stored under standardized metadata categories, while business teams can refine the taxonomy over time based on analytics results. This creates a feedback loop where new insights improve metadata governance and governed metadata improves future analysis.

Business value: Enables more accurate trend analysis, better governance of content taxonomies, and stronger alignment between analytics and information management teams.

7. Automated Content Triage and Routing

Data flow: OpenText Magellan Text Mining Engine ? OpenText Content Metadata Service - Dictionary

Magellan classifies incoming documents by intent, topic, sensitivity, or business function. The Dictionary stores those classifications as approved metadata values, which can then trigger routing rules for records management, legal review, customer service, or knowledge management teams.

Business value: Reduces manual triage effort, accelerates routing to the right team, and improves operational throughput for high-volume document intake.

8. Metadata Governance for AI-Assisted Content Discovery

Data flow: OpenText Content Metadata Service - Dictionary ? OpenText Magellan Text Mining Engine ? OpenText Content Metadata Service - Dictionary

The Dictionary defines the enterprise metadata model used to govern content discovery. Magellan then applies text mining to populate and validate those fields from unstructured documents. Results are written back into the Dictionary so content remains aligned with enterprise governance standards while benefiting from automated enrichment.

Business value: Supports scalable content governance, reduces dependence on manual tagging, and improves the quality of AI-assisted discovery across the organization.