vivo mini-grant: integrating the umls ontology into vivo for linking biomedical scientists

Stony Brook University

School of Medicine

8/25/2011

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VIVO Mini-Grant: Integrating the UMLS Ontology into VIVO for Linking Biomedical Scientists

Moises Eisenberg* and Janos Hajagos*

Contributors:

• Erich Bremer*

• Jizu Zhi**

• Tammy DiPrima*

• Ann Gardner***

• Naresh Singh****

• Aniket Divecha****

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Dept. of Medical Informatics* | OSA**| SOM***|Dept. of Computer Science****

SUNY REACH

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VIVO has an ontology

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The Semantic Web starts simple with a RDF triple

Subject ObjectPredicate

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Builds into a more complex network of interlinked URIs

Source data from NCIt

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The CUI: Concept Unique Identifier

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UMLS as linked data

• Developed tool to publish large databases into RDFS

• Published 2011AA version of the UMLS and corresponding RxNorm Release

– Public available sources (SRL=0)

– RxNorm is linked to DrugBank

• Includes attributes, relationships, and semantic types from the UMLS

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UMLS RDF in the wider world

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Faceted browser view

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UMLS CUI Alignment Tool

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Algorithm for aligning free text

• Parse free text into component words

• Build phrases of different word length

• Query UMLS if phrase exists

• Sort in descending order of number of words

• Tie criteria based on number of occurrences in different source vocabularies

– Most widely used gets a higher rank

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UMLS Web Service

• Base address: http://link.informatics.stonybrook.edu

• Sample call: /MeaningLookup/MlServiceServlet?textToProcess=Pediatric%20HIV&format=json

• Response format:– JSON, N-triples, RDF/XML

• Response content:– Best choices and all choices for matching CUIs

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Alignment to the UMLS CUIs

PubMed RDF Conversion• Started with XSLT published in 2008 by Pierre Lindenbaum

• A prototype project linked 2010 PubMed to the internal Health Sciences Library MARC holdings data (>800,000,000 triples)

• Allowed linked data search joining article data with holdings data

• PubMed XSLT updated to 2011 schema with MeSH aligned to the UMLS CUIs

• Current translation generated 1,973,880,813 triples

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PubMed CUI Web Service

• Base address: http://link.informatics.stonybrook.edu

• Sample call: /weaver/pubmed2cuis?pmid=17952453

• Response format: JSON

• Response content: UMLS CUIs with labels

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Linking subject areas to publications

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Data facts

• UMLS RDF (2011AA release; English language; SRL=0)– Number of triples: 110,415,427– Number of different sources: 46– Number of CUIs: 2,404,344– Number of AUIs: 3,594,372

• REACH VIVO (Data extracted 8/23/2011)– Number of people: 684– Number of triples: 448,112

• UMLS alignment of subject areas– Number of subject areas: 425– Number of UMLS CUIs generated: 899– Number of distinct UMLS CUIs: 604

• PubMed alignment to REACH– Number of UMLS CUIs generated: 192,450– Number of distinct UMLS CUIs: 11,039– Articles with no MeSH is 1,293 out of 15,975

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Links

• SPARQL endpoint:– http://link.informatics.stonybrook.edu/sparql/

• CUI alignment tool:– http://link.informatics.stonybrook.edu/MeaningLookup/

• Points to start browsing linked data:– http://link.informatics.stonybrook.edu/umls/– http://link.informatics.stonybrook.edu/umls/SAB

• Open source code developed at SBU:– http://code.google.com/p/py-triple-simple/

• Native Python RDF utility

– http://code.google.com/p/sbu-mi-vivo-tools/• Automated dumping of VIVO sites RDF and alignment to UMLS and PubMed

– http://code.google.com/p/spyder-web/• Faceted browser and lightweight web service for parameterized SPARQL queries

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Acknowledgements

• Supported through:

VIVO: Enabling National Networking of ScientistsNIH U24 RR029822

• Original interactive CUI alignment tool created by Jakub Pezacki (SBU Class of 2010)

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