Linked Data Integration for News Publishers

Ontotext Semantic News & Publishing Helps You:

Improve authoring productivity

Enhance content authoring, editorial and delivery phases while maintaining your workflow.

Keep readers engaged

Deliver recommended content even when interests change.

Increase revenues

Create new sales opportunities automatically with re-purposed and repackaged content.

When you request a private session,
we’ll ask you for some details in a short web form

BBC_logo_small

With 32 teams, 8 groups and 776 individual players, managing the Web site for the 2010 FIFA World Cup was a daunting task. There were simply too many pages and too few journalists too many pages and too few journalists to create and manage the site’s content.

euromoneylogo

After growing in part through acquisition, Euromoney found itself with 84 brands and more than 100 different publications. They turned to Ontotext for a solution that would help them easily reuse and repurpose content within and between the business units.

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.
bigger-now

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.

How It Works: A Typical Publishing Workflow

Content creation using your own publishing workflow

1-snp

Receive recommendation while authoring

2-snp

Enhanced quality assurance tools

3-snp

Semantically rich knowledge base

4-snp

Features

Benefits

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.

When you request a private session,
we’ll ask you for some details in a short web form

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