3. About Ontotext
• Provides products & solutions for content
enrichment and metadata management
• Major clients and industries
– Media & Publishing
– Health Care & Life Sciences
– Cultural Heritage & Digital Libraries
– Government
– Finance
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4. Typical challenges for our customers
• How can we unlock more insight from text and easily
find relevant information?
• How can we create dynamic content and improve
content reuse?
• How can we interlink and search across text and
structured data sources?
• How can we integrate data sources faster and deal
with schema changes?
• How can we reuse external open data sources?
• How can we discover relations between entities?
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5. Ontotext’s vision for smart data management
• Apply Semantic Technology for making sense of data
– RDF graph data for flexible data integration
– Easily model text and structured data sources
– Ontologies for a common metadata layer
– Interlink people, locations, organisations, events, topics…
– Reuse external knowledge graphs / Linked Data
– Discover implicit links and relations in the knowledge
graph
– Powerful semantic search and exploratory queries
– Metadata driven dynamic content creation & reuse
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6. Self-Service Semantic Suite (S4)
• Semantic Technology adoption challenges, despite
the success stories
– maturity, availability, procurement, cost, risk, expertise,
learning curve, …
• S4 proposition
– Self-service, “open buffet” set of services for text analytics,
content enrichment and metadata management
– Based on enterprise grade semantic technology
– Lower cost and risk
– Easy to start
– Anytime, anywhere
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7. Self-Service Semantic Suite (S4)
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Knowledge
Graphs
Text
analytics
RDF data
• Linked Data as-a-service
• Billions of facts
• Different domains
• Custom KGs on demand
• Improved text analytics
• News analytics
• Biomedical analytics
• Twitter analytics
• Disambiguation
• Entity Linking
• RDF database as-a-service
• Publishing Linked Data sets
• Discover implicit relations
• Graph analytics
• Exploratory queries
• Visualisation
• Anytime, anywhere
• Pay-per-use
• Free tier
• Scalable & available
• Simple REST APIs & add-ons
• JSON, JSON-LD, schema.org
8. THANK YOU!
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@ontotext_s4
s4.ontotext.com