on-demand text analytics and metadata management with s4
TRANSCRIPT
On-demand Text Analytics and Metadata Management with S4
Marin Dimitrov, Alexander Simov, Yavor Petkov
Ontotext AD
May 20th, 2015
On-demand Text Analytics and Metadata Management with S4 / ESaaSA 2015 #1 May 2015
• Semantic Technologies for Smart Data Management
• Self-Service Semantic Suite (S4)
• S4 Architecture
• Comparison with Other Approaches
• Future work
Contents
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Semantic Technologies for Smart Data Management
• Semantic Search
– Semantic, exploratory search
– Metadata driven content
• Text Mining & Interlinking
– People, locations, organisations, topics
– Discover implicit relations
– Reuse open knowledge graphs
• Graph Database
– Flexible RDF graph data model
– Ontology metadata layer
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RDF for smart data management
• Standards compliance
– Based on a mature set of W3C standards: RDF/S, OWL, SPARQL
– Portability & interoperability
• Schema-less data integration, easy querying of diverse data
• Complex & exploratory queries
• Infer implicit relations in the graph
• Reuse open knowledge graphs (Linked Open Data)
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What is S4?
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• On-demand capabilities for text analytics, content enrichment and metadata management
– Text analytics for news, life sciences and social media
– RDF graph database as-a-service
– Access to large open knowledge graphs
• Available anytime, anywhere
– Simple RESTful services
• Simple, pay-per-use pricing
– No upfront commitments
What is S4?
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S4 Architecture
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applications
applications
Web UI
routing nodes
data nodes
coordinator
storage notifications
Docker repository
account / quota management
monitoring & logging metadata
store
text analytics
document queue
FactForge semantic
warehouse
Dealing with Failures
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applications
applications
Web UI
routing nodes
data nodes
coordinator
storage notifications
Docker repository
account / quota management
monitoring & logging metadata
store
text analytics
document queue
FactForge semantic
warehouse
• Text analytics – Alchemy, Bitext, DatumBox, MeaningCloud, OpenCalais,
OpenAmplify, Saplo, Semantria, etc.
• RDF Database-as-a-Service – Dydra, OpenLink
• S4 provides an integrated suit of key semantic data management capabilities: – Ontology based text analytics
– RDF data management
– Knowledge graphs
Comparison with Other Approaches
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• Text analytics – Multi-lingual text analytics
– Sentiment analytics
– JSON-LD output format
• RDF databases – Strategies for co-locating databases based on usage stats
– Integration of Linked Data Fragment based containers
• Knowledge Graphs – Private knowledge graph databases with DBpedia/Wikidata
– 3rd party Linked Data visualisation & exploration tools
Future Work
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Thank you!
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s4.ontotext.com