Text Analytics & Linked Data Management As-a-Service
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The document discusses Ontotext's text analytics and linked data management services, highlighting the Self-Service Semantic Suite (S4) which offers capabilities for content enrichment and smart data management with a focus on reducing time-to-market and risks associated with semantic technology adoption. Key features include on-demand access, a pay-per-use pricing model, and various text analytics services like news annotation and entity linking. It emphasizes the importance of a cost-aware cloud platform and the benefits of cloud-native architectures.
Text Analytics & Linked Data Management As-a-Service
- 1. Text Analytics & Linked Data Management As-a-Service Marin Dimitrov, Alex Simov, Yavor Petkov May 31st, 2015 Text Analytics & Linked Data Management -aaS / Wasabi’2015 #1May 2015
- 2. About Ontotext • Provides products & solutions for content enrichment and metadata management – 70 employees, headquarters in Sofia (Bulgaria) – Sales presence in London, NYC & Boston • Major clients and industries – Media & Publishing – Health Care & Life Sciences – Cultural Heritage & Digital Libraries – Government – Education #2Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 3. • Semantic Technology adoption challenges • The Self-Service Semantic Suite (S4) • Lessons learned Contents #3Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 4. Semantic Technology Adoption Challenges #4Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 5. Time-to-value gap (Gartner) #5Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015 From Wasabi @ ESWC’2014 Performance, Integration, Penetration, Payback & ROI
- 6. • Limiting factors – Complexity & cost of existing solutions – Limited resources to evaluate novel technologies (startups) – Slow procurement processes, risk aversion (enterprises) • How can we… – Reduce time-to-market – Reduce adoption risks – Optimise costs Semantic Technology adoption #6Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 7. The Self-Service Semantic Suite (S4) #7Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 8. • Capabilities for text analytics, content enrichment and smart data management – Text analytics for news, life sciences and social media – RDF graph database as-a-service – Access to large open knowledge graphs • Available on-demand, anytime, anywhere – Simple RESTful services • Simple pay-per-use pricing – No upfront commitments What is S4? #8Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 9. What is S4? #9Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 10. • Enables quick prototyping – Instantly available, no provisioning & operations required – Focus on building applications, don’t worry about infrastructure • Free tier! • Easy to start, shorter learning curve – Various add-ons, SDKs and demo code • Based on enterprise semantic technology Benefits #10Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 11. • Text analytics services – News annotation – News categorisation – Biomedical – Twitter • Entity linking & disambiguation – Mappings to DBpedia & GeoNames instances – Mappings to biomedical data sources (LinkedLifeData) • HTML, MS Word, XML, plain text input • Simple JSON output Text analytics with S4 #11Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 12. News analytics example #12 S4 result Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 13. • Low-cost graph DBaaS available 24/7 • Ideal for small & moderate data volumes – database options: 1M, 10M, 50M, 250M and 1B triples • Instantly deploy new databases when needed • Zero administration: automated operations, maintenance & upgrades • Users pay only for the actual database utilisation – Number of triples stored + number of queries per month • OpenRDF REST API Fully managed RDF DB in the Cloud #13Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 14. Fully managed RDF DB in the Cloud #14Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 15. • SPARQL query endpoint to the FactForge semantic data warehouse – 500 million entities / 5 billion triples • Key LOD datasets integrated – DBpedia, Freebase/WikiData, GeoNames, WordNet – Dublin Core, SKOS, PROTON ontologies and vocabularies Knowledge graphs with S4 #15Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 16. Cloud native architecture of S4 #16Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015 Elasticity vs High Availability vs Cost Efficiency
- 17. Lessons Learned #17Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 18. • You must build a “cost aware” cloud platform • Cloud-native architectures are more efficient, but more difficult to build • A microservices architecture improve system resilience & agility, but difficult to design right • Extensive and continuous benchmarking & monitoring – Some problems emerge only at large scale • Assume failures will happen & design for resilience Lessons learned #18Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015
- 19. Thank you! #19Text Analytics & Linked Data Management -aaS / Wasabi’2015 May 2015