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II-SDV 2015, 21
- 2. • Agile, scalable, real-time NLP-based text mining
• Fact extraction and knowledge synthesis
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Pharma/Biotech GovernmentHealthcare
Including 17 of
the top 20
Including
FDA
Including Kaiser
Permanente
Software Hosted contentConsulting
Boston, USA
Cambridge, UK
- 3. Toolbox of Methods for Powerful Querying
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•Precise linguistic relationships, sentence co-occurrence
•Precise negation e.g. “pressure” but not “blood
pressure”
NLP
•Search for concepts and classes, not just keywords
•e.g. cancer and get synonyms and children:
• Malignant neoplasms, Malignant tumor …
Terminologies
•Rule based pattern matching for e.g. measurements,
lab codes, mutations
•e.g. microRNA: let-?d+.* mirn?a?-?d+.*
Regular
Expressions
Chemistry
•Restrict within particular regions of a document, including
nested e.g. table cell in table in DescriptionFielded Search
•Simultaneous processing of large numbers of items e.g.
• 500 compounds, 500 genes from microarray
experiment, etc.
High Throughput
3
- 8. Meeting the Big Data Challenge
High performance indexing
• Millions of documents, TBs of storage
• Ontologies with 100,000s of terms
• Handles large documents with ease
• Open, configurable pipeline
• Advanced table processing
VOLUME VARIETY VELOCITY VISUALIZATION
Connected data technology
• Unified heterogeneous document types across federated servers
• Connect – Normalize – Use
• Structured, semi-structured and unstructured
Distributed indexing and querying
• Multi-processor
• Multi-machine
Integrates in enterprise applications, portals, pipelines and workflows
• Open web services API
• Public query language
High-throughput single document processing (AMP)
• For semantic enrichment and ETL
• Public query language
Strong integrated visualization
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- 9. Thank You
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