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II-SDV 2015, 20 - 21 April, in Nice
- 2. ā¢ Agile, scalable, real-time NLP-based text mining
ā¢ Fact extraction and knowledge synthesis
About Linguamatics
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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
Copyright Ā© Linguamatics 2015
ā¢Precise linguistic relationships, sentence co-occurrence
ā¢Precise negation e.g. āpressureā but not āblood
pressureā
NLP
ā¢Search for concepts and classes, not just keywords
ā¢e.g. cancer and get synonyms and children:
ā¢ Malignant neoplasms, Malignant tumor ā¦
Terminologies
ā¢Rule based pattern matching for e.g. measurements,
lab codes, mutations
ā¢e.g. microRNA: let-?d+.* mirn?a?-?d+.*
Regular
Expressions
Chemistry
ā¢Restrict within particular regions of a document, including
nested e.g. table cell in table in DescriptionFielded Search
ā¢Simultaneous processing of large numbers of items e.g.
ā¢ 500 compounds, 500 genes from microarray
experiment, etc.
High Throughput
3
- 8. Meeting the Big Data Challenge
High performance indexing
ā¢ Millions of documents, TBs of storage
ā¢ Ontologies with 100,000s of terms
ā¢ Handles large documents with ease
ā¢ Open, configurable pipeline
ā¢ Advanced table processing
VOLUME VARIETY VELOCITY VISUALIZATION
Connected data technology
ā¢ Unified heterogeneous document types across federated servers
ā¢ Connect ā Normalize ā Use
ā¢ Structured, semi-structured and unstructured
Distributed indexing and querying
ā¢ Multi-processor
ā¢ Multi-machine
Integrates in enterprise applications, portals, pipelines and workflows
ā¢ Open web services API
ā¢ Public query language
High-throughput single document processing (AMP)
ā¢ For semantic enrichment and ETL
ā¢ Public query language
Strong integrated visualization
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- 9. Thank You
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Phil Hastings
Email: phil.hastings@linguamatics.com
Tel: +44 (0)1223 651910
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