Ontotext Semantic News Publishing

Engage Your Readers with Personalized Adaptive Content

Ontotext Semantic News Publishing is the basis of our solutions in news & media publishers. It is a specialisation of our semantic publishing technology stack with three main extensions:

  • A carefully blended semantic database based on DBpedia and WikiData
  • Personalization engine used for recommending related content based on context and user behaviour
  • Semantic fingerprinting of content and users through automatic tagging with concepts, topics and relations

Semantic News Publishing Solutions Include:

  • An extensive semantic database as a starting point
  • Automatic enrichment of content with tags, concepts, relationships and topics (so called semantic fingerprinting) through extracting “known” and “new” concepts and links
  • Dynamically aggregated topic and profile pages of entities
  • The capture of popularity trends over time
  • Associations of entities based on mentions in the same context
  • Semantic search capabilities
  • What the article is about and which articles are related to it
  •  The capture of user actions to drive personalized recommendations and landing pages
  • Contextual Authoring – get related content and data as you type
  • Continuous curation feedback to control and improve the quality and focus of the text analytics

Ontotext Semantic News & Publishing Helps You:

  • Improve authoring productivity
    Enhance content authoring, editorial and delivery phases while maintaining your workflow.
  • Increase revenues
    Create new sales opportunities automatically with re-purposed and repackaged content.
  • Keep readers engaged
    Deliver recommended content even when interests change.

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NOW is a free public service. Try it and share your insights and ideas. Ontotext looks forward helping news publishing  be more beneficial to readers and equally rewarding to publishers.

Try NOW – News on the Web

How It Works: A Typical Publishing Workflow

  • 1Content creation using your own publishing workflow.
  • 2Receive recommendation while authoring.
  • 3Automatically annotated content.
  • 4Enhanced quality assurance tools.
  • 5Semantically rich knowledge base.

Semantic News Publishing

  • Contextual Authoring
  • Provides suggested related texts, images and concepts which enhance the authoring process.
  • Reduces the time and costs of authoring and editing new content while leaving authors in control.
  • Personalization Engine
  • Generates personalized, recommended content based on reader behavior and background.
  • Increases return readership.
  • Enhances advertising effectiveness.
  • Automated Content Enrichment
  • Improves the quality of suggestions through editor feedback.
  • Allows for continuous authoring without interruption.
  • Dynamic Topic Aggregation
  • Creates new revenue streams using repackaged and repurposed content.
  • Better segment your readers with personalized news bundles.