Home | Connectors | OpenText Core Content - Metadata | OpenText Core Content - Metadata - PoolParty Integration and Automation
Data flow: PoolParty ? OpenText Core Content - Metadata
When documents, images, or records are uploaded into OpenText Core Content, PoolParty can analyze titles, abstracts, extracted text, and existing tags to suggest additional semantic metadata such as topics, entities, product names, and industry terms. OpenText then applies these values through controlled vocabularies and validation rules.
Business value: Improves metadata completeness at the point of capture, reduces manual tagging effort, and increases search precision across content repositories.
Data flow: PoolParty ? OpenText Core Content - Metadata
PoolParty can manage a broader semantic model, including synonyms, hierarchical concepts, and related terms, and publish approved terms into OpenText as governed metadata values. Content stewards can use PoolParty to maintain the knowledge model while OpenText enforces the approved set in day-to-day content operations.
Business value: Keeps metadata standards consistent across teams and business units while allowing taxonomy owners to evolve the vocabulary without disrupting content operations.
Data flow: OpenText Core Content - Metadata ? PoolParty ? OpenText Core Content - Metadata
Existing content stored in OpenText can be sent to PoolParty for semantic analysis to identify missing or outdated metadata. PoolParty returns recommended classifications, which OpenText can apply in bulk after review or through automated rules for approved content types.
Business value: Reduces the cost of remediating large content archives, improves findability of legacy assets, and supports records or compliance initiatives that depend on accurate classification.
Data flow: PoolParty ? OpenText Core Content - Metadata
PoolParty can generate semantic tags and concept links that OpenText stores as metadata fields used by search and filtering. This allows users to find content using related terms, not just exact keywords, which is especially useful for multilingual or highly specialized content libraries.
Business value: Increases content discoverability for legal, marketing, product, and knowledge management teams, reducing time spent searching and reworking existing assets.
Data flow: Bi-directional
OpenText can enforce metadata rules at the point of entry, while PoolParty can validate whether submitted values align with the semantic model, identify duplicates, and normalize variants such as abbreviations, synonyms, or regional terminology. Exceptions can be routed back to content stewards for correction.
Business value: Improves metadata accuracy, reduces inconsistent tagging across departments, and lowers downstream reporting errors caused by poor data quality.
Data flow: OpenText Core Content - Metadata ? PoolParty
OpenText metadata can be shared with PoolParty to enrich a central knowledge graph that connects content across repositories, departments, and content types. Users can then discover related assets through semantic relationships such as product, campaign, customer segment, or regulatory topic.
Business value: Supports cross-functional content reuse, improves asset visibility across DAM and ECM environments, and helps teams avoid duplicate content creation.
Data flow: OpenText Core Content - Metadata ? PoolParty
OpenText metadata can feed PoolParty?s semantic layer to create richer reporting on content themes, concept coverage, and topic trends. Business teams can analyze which subjects are most represented, where metadata gaps exist, and how content aligns to strategic initiatives.
Business value: Gives content governance, marketing operations, and information management teams better insight into repository health and content portfolio coverage.
Data flow: PoolParty ? OpenText Core Content - Metadata
PoolParty can map concepts across languages and provide language-aware synonyms and preferred terms. OpenText can then store the approved localized metadata values for regional content teams while maintaining a single semantic model behind the scenes.
Business value: Enables consistent classification across global teams, improves multilingual search, and reduces the risk of regional metadata silos.