Linked Data for the Enterprise: Opportunities and Challenges
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  • 1. Linked Data for the Enterprise: Opportunities and Challenges Marin Dimitrov (Ontotext) Semantic Days 2012, Stavanger
  • 2. About Ontotext• Provides software and expertise for creating, managing and exploiting semantic data – Founded in 2000 – Offices in Bulgaria, USA and UK• Major clients and industries – Media & Publishing (BBC, Press Association) – HCLS (AstraZeneca) – Cultural Heritage (The British Museum, The National Archives) – Defense and Homeland Security Linked Data for the Enterprise: Opportunities and Challenges May 2012 #2
  • 3. Outline• Semantic Technologies & Linked Data for the enterprise• Success stories from Ontotext• Challenges and lessons learned Linked Data for the Enterprise: Opportunities and Challenges May 2012 #3
  • 4. SEMANTIC TECHNOLOGIES ANDLINKED DATA FOR THE ENTERPRISE Linked Data for the Enterprise: Opportunities and Challenges May 2012 #4
  • 5. Are Semantic Technologies Suitable for the Enterprise?• Various standards related to different aspects of information management• Recent work @ W3C focused on enterprise applications – SPARQL 1.1 extensions – RDB2RDF – HCLS – Provenance – Semantic Sensor Networks Linked Data for the Enterprise: Opportunities and Challenges May 2012 #5
  • 6. Enterprise Information Management Challenges• Many disparate data sources and data silos• Many point-to-point interfaces• Data sources with similar/inconsistent information• Complex data integration processes inadequate for changing business requirements• Most of the knowledge is hidden in texts• Difficult to integrate structured data and text Linked Data for the Enterprise: Opportunities and Challenges May 2012 #6
  • 7. Semantic Web and Linked Data Opportunities for the Enterprise• Simplify the information integration processes – Flexible, easy to evolve data model – Bottom-up / incremental integration – Efficiently integrate structured and unstructured data – Reconciliation of duplicated information• Provide an enterprise metadata layer – Unified metadata vocabulary for the enterprise – Align the legacy data silos – Improve the information sharing and reuse – Agile Master Data Management Linked Data for the Enterprise: Opportunities and Challenges May 2012 #7
  • 8. Semantic Web and Linked Data Opportunities for the Enterprise (2)• Discovery and enrichment of information – Interlink people, organisations, events, … – Enrich enterprise content with structured annotations – Discover implicit links and relationships• Unified access to information within the enterprise – Simplified infrastructure based on open standards• Information interchange across different enterprises – Easy publishing and consumption of Linked Data• Augments existing IT assets and technologies – No need for disruptive replacement Linked Data for the Enterprise: Opportunities and Challenges May 2012 #8
  • 9. Typical Enterprise Use Cases for Linked Data and Semantic Technologies• Publish / consume Linked Data – Linked Data is not necessarily free data – Facilitate data interchange within the value chain• Information integration within the enterprise – Integrated asset management / align data silos – Master Data Management• Knowledge discovery and semantic search – Integrate structured and unstructured data – Semantic search Linked Data for the Enterprise: Opportunities and Challenges May 2012 #9
  • 10. SUCCESS STORIES & LESSONSLEARNED Linked Data for the Enterprise: Opportunities and Challenges May 2012 #10
  • 11. Success Stories• Linked Life Data – Semantic warehouse integrating and interlinking 25+ public biomedical data sources – 1 billion biomedical entities described – Interactive discovery and exploration• Mining relationships in Linked Data – Pharmaceutical in the US – Interactive relationship discovery between biomedical objects – Identify explicit relationships (from structured data) and implicit relationships (unstructured data) Linked Data for the Enterprise: Opportunities and Challenges May 2012 #11
  • 12. Success Stories (2)• Assets enrichment – Media organisations in the UK and the USA – Annotate content repositories and interlink extracted concepts – Publish and consume Linked Data – Semantic search• Dynamic Semantic Publishing – BBC World Cup 2010 and London Olympics 2012 websites – Use Linked Data to automate dynamic publishing of content Linked Data for the Enterprise: Opportunities and Challenges May 2012 #12
  • 13. Success Stories (3)• Semantic Knowledge Base & Semantic Search – UK Government web archive, also US government agencies – Enrich and Interlink 160M documents with Linked Data (LOD) – Semantic search over the interlinked data Linked Data for the Enterprise: Opportunities and Challenges May 2012 #13
  • 14. Semantic Information Integration Linked Data for the Enterprise: Opportunities and Challenges May 2012 #14
  • 15. Challenges & Lessons Learned• Domain ontologies may need to be developed for the particular use case• Tradeoff between ontological expressivity and query performance• Semantic databases catching up with enterprise data warehouse systems (features and performance)• Fine-grained provenance is quite challenging• Data quality problems with many LOD sets• Curation of text mining results is important Linked Data for the Enterprise: Opportunities and Challenges May 2012 #15
  • 16. Challenges & Lessons Learned (2)• Data-driven UX is important• conventions for URIs of generated RDF data are important• Multiple proof-of-concept projects to demonstrate the feasibility of the technology• Enterprise IT teams still getting up to speed with Semantic Technologies• Semantic Technologies infrastructure stack changing rapidly, technology still maturing Linked Data for the Enterprise: Opportunities and Challenges May 2012 #16
  • 17. Semantic Technologies from Ontotext for Enterprise Information Management• Scalable RDF database (OWLIM) – Standard compliance; full-text and geo-spatial extensions – Cluster set up for fail-over and scalability – Scalable inference & retraction• Semantic annotation platforms (KIM and SBT) – Ontology based text mining – Multi-paradigm semantic search – Domain specific extensions• Linked Data integration and reconciliation – Integrate and align diverse data sources Linked Data for the Enterprise: Opportunities and Challenges May 2012 #17
  • 18. THANK YOU! Linked Data for the Enterprise: Opportunities and Challenges May 2012 #18