Discover the meaning of your data
The Semantic AI approach captures enterprise knowledge and applies it throughout your organization to drive intelligent search, improve customer experiences, automate processes, and govern information.
How will you eliminate information silos?
Semaphore provides the tools and technologies to collaboratively create and harmonize the business concepts, relationships, and meaning using standards-based knowledge models to gain insight, drive business processes, manage information, and create new revenue streams.
Web-based, easy to use interface lets you create, manage, and govern knowledge models over their lifetime.
Leverage business expertise to ensure the model accurately reflects your organization, information, business glossaries, and use cases.
Extend the knowledge model using Machine Learning to identify concepts and relationships from varied content sources to add to your vocabulary.
Accelerate model development by linking data sources - internal and industry-standard models, reference data, and Open Linked Data - to improve reuse, control access, and enable model governance.
Promote task-centric information governance and defined best practices within the organization.
Build, create, and govern knowledge models (i.e. taxonomies, ontologies, controlled vocabularies, thesauri, etc.) that capture the important concepts, topics, and relationships that reflect the language of your organization and teams. KMM multi-language models can be leveraged by business systems and information sources to gain insight, feed business processes, discover and extract information, and reveal quality data to support decision-making.
As a part of KMM, LEX enables users to view internal and external information in a side panel. LEX leverages Machine Learning techniques to allow for rapid model enrichment by suggesting candidate vocabulary and providing reference information - from Linked Data sources (DBPedia or internal sources) - that has been tagged with a concept.
As a part of KMM, KRT's easy to use interface facilitates collaboration between subject matter experts and stakeholders throughout the enterprise to review, analyze, and provide feedback on knowledge models to ensure the vocabulary of the business and use cases are accurately reflected.
As part of KMM, MMT provides an interface and NLP mapping algorithms that allow users to bring together multiple internal and external terminologies and create a harmonized view that supports multiple vocabularies. Models remain intact and associations between them are identified and created. Also, when multiple system’s metadata is not standardized, MMT enables you to create an enterprise model representing the metadata world.
For more information on how we can help you maximize the value of your data.Get in touch
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