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LT-Accelerate’2014 S4: The Self-Service Semantic Suite Enabling On Demand Metadata Management Marin Dimitrov (CTO)

S4: The Self-Service Semantic Suite

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Enabling On-Demand Metadata Management

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Page 1: S4: The Self-Service Semantic Suite

LT-Accelerate’2014

S4: The Self-Service Semantic Suite

Enabling On Demand Metadata Management

Marin Dimitrov (CTO)

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LT-Accelerate.com

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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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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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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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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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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

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THANK YOU!

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@ontotext_s4

s4.ontotext.com