The Missing Link-The Evolving Current State of Linked Data for Serials-Lauruhn


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Linked data may hold the potential to solve some classic serials dilemmas like latest vs. successive entry, or single vs. multiple records for print and online. How do these hopes mesh with the evolving current state of linked data projects in the commercial and library sector as well as with LC’s Bibframe initiative? The speakers will provide three different perspectives. An “early experimenter” and member of the Bibframe group modeling serials will discuss her experiences and thoughts on future directions. A publisher from a company that has reorganized some of its infrastructure and processes to facilitate linked data will share the goals and provide examples of the benefits of that project. Finally, the head of the U.S. ISSN Center will take an ISSN perspective as well as compare international work modeling serials according to FRBR-OO (object-oriented) with the Bibframe serials modeling effort. Audience input will be solicited in order to provide an exchange of ideas and viewpoints. (moderated by Laurie Kaplan)

Michael Lauruhn
Disruptive Technology Director, Elsevier Labs

See accompanying presentation by Nancy Fallgren

Published in: Education, Health & Medicine
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The Missing Link-The Evolving Current State of Linked Data for Serials-Lauruhn

  1. 1. Linked Data at Elsevier Michael P Lauruhn The Missing Link: The Evolving Current State of Linked Data for Serials NASIG 28th Annual Conference June 7, 2013 @MikeLauruhn @ElsevierLabs
  2. 2. 2 • Create greater online engagement with our content and platform • Create additional usage in journals and books, through interactive use and downloads • Semantically enrich content and increase value of discovery services compared to the similar content at other platforms • As a publisher, add value and improve our status as a partner in research The challenge for publishers Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  3. 3. 3 Our Approach • Expose asset and subject metadata as linked data in Web pages to help discovery • Use linked data principles while using our current content production workflow • Use of standard vocabularies, taxonomies, ontologies and entity lists whenever possible • Leverage partners for content enhancement and knowledge organization Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  4. 4. Smart Content: Semantic Enhancements for Scientific Publishing Concepts: Metadata, Entities, Relationships Applied Smart Content • Faceted search & browse • Ontology-driven navigation • Task-specific results • Personalized/localized results • Question answering • Topic pages • Social network maps • Geolocation maps • Data mashups • Text mining reports Multimedia Text Data Elsevier content Related Elsevier content and data Linked data from partners and the Web • Tag clouds • Heatmaps • Streamgraphs • Scatterplots • Time series • Animations Better discovery Better understanding Actionable, persuasive knowledge Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  5. 5. 5 What metadata can we collect & link Asset Metadata Bibliographic Metadata Entities Relations Citations Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  6. 6. 6 Entities Example: EMMeT Core Semantic Types: Diseases Anatomy Clinical Findings (includes symptoms) Procedures Drugs Sources: EMMeT SNOMED CT FMA (Foundational Model of Anatomy) GO (Gene Ontology) MeSH NCIt (National Cancer Institute thesaurus) Elsevier Merged Medical Taxonomy Entities Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  7. 7. 7 <skosxl:literalForm xml:lang="en-US">Diabetes Mellitus</skosxl:literalForm> <ebs:usageFlag rdf:resource=""/> ... <skosxl:literalForm xml:lang="en-US">Diabetes</skosxl:literalForm> <ebs:usageFlag rdf:resource=""/> ... <skos:notation rdf:datatype="">177824</skos:notation> <skos:notation rdf:datatype="">C0011849</skos:notation> ... <rdf:type rdf:resource="" /> <skos:broader rdf:ID="Relation-34359" rdf:resource=""/> ... <skos:narrower rdf:ID="Relation-9812" rdf:resource=""/> ... <emsem:hasSymptom rdf:ID="Relation-99999" rdf:resource=""/> … Abnormal Sense of Taste Abnormal metabolic state in diabetes mellitus Disorders of endocrine system EMMeT – Elsevier Merged Medical Taxonomy Term example: Diabetes Mellitus Relations Entities Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  8. 8. 8 Rivastigmine, a cholinesterase inhibitor, has been used to treat delirium in elderly patients with stroke. 1 A biologically plausible premise—that impaired cholinergic transmission might either cause or worsen delirium—led to a randomised, placebo-controlled, double-blind trial by Maarten van Eijk and colleagues 2 in The Lancet in which they added rivastigmine or placebo to usual treatment of patients in intensive care. The trial was halted at 104 patients by the drug safety and monitoring board (DSMB) because of increased mortality (12/54 in the rivastigmine group, 4/50 in the placebo group; p=0·07) and a worse outcome. The rivastigmine group … Linked Data Repository (LDR): Warehouse for Smart Content Enhancements Delirium treatment: An unmet challenge Title Drug Clinical finding • Enhances extracted knowledge of Elsevier assets by interlinking data with related sources of medical and scientific content and data. • Optimized for high-volume read-write for use by end-user products. • Provide service layer APIs for ease of integration. Disease ATC: N06DA03 Drug: Rivastigmine med:diseases Delirium med:drugs Rivastigmine Elsevier Trial: NCT00623103 Intervention: Rivastigmine Condition: Delirium LinkedCT Trial: NCT00623103 Serious Adverse events: Atrial fibrillation owl:same as owl: same as foaf:page Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  9. 9. 9 Some Examples Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  10. 10. 10 Linked Data Prototype for The Lancet Special featureThe Lancet special issue: ―Stillbirths‖ (Vol 377; Number 9774; April 14, 2011) Creation LDR-enabled interactive application using: • The Lancet content • Datasets from The Lancet editorial staff • Datasets from World Bank • EMMeT subject tagging • Geo locations & Map The Lancet and World Bank datasets loaded into the LDR as triples. EMMeT tagging results of articles loaded into LDR. Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  11. 11. 11 Trend Analysis Of Special Health Topics: Stillbirths Countries color coded by Lancet data on stillbirth rate per 1000 births. Bubbles represent selected data from World Bank (GDP per Capita) Narrow search by identifying articles with most relevant concepts related to stillbirth. Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  12. 12. 12 Regions color coded based on avg. cost of Tamoxifen treatment per 1000 people. Bubbles represent the cost of treating side effects of Tamoxifen. Example; North Yorkshire Additional cost for Toremifene = £357k If we assume an adverse effect costs £300 per patient. Tamoxifen = £1.48m Toremifene = £103k Savings Potential >£1m by prescribing a seemingly more expensive drug Healthcare Analytics: Breast Cancer Treatment in the UK Data from, Elsevier articles, & Elsevier Pharmapendium Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  13. 13. 13 Neuroscience Research: Improved Access To Data and Better Tools CHALLENGE Neuroscience is a highly interdisciplinary field requiring analysis on vast amounts of content from many different sources: • Foundational information is hard to find • Need to identify articles with specific methods or related experiments • Analyze anatomy, connectivity, and gene expression data from different sources • Sources use different ontologies ` Unpaired midbrain region situated in the ventromedial portion of the reticular formation. The VTA is medial to the substantia nigra and ventral to the red nucleus, and extends caudally ….. Anatomy Connectivity Expression Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  14. 14. 14 • Increasing acquisition of data and text analytics capabilities • Shifting dependence from partners to in-house resources for metadata creation and data modeling • Innovation in new knowledge organization systems – taxonomy for discovery – ontology for understanding and integration • Emergence of shared infrastructure based on linked data principles Trends within Elsevier today Copyright © 2013 Elsevier, Inc. | All Rights Reserved
  15. 15. Thank you Michael Lauruhn @MikeLauruhn @ElsevierLabs Copyright © 2013 Elsevier, Inc. | All Rights Reserved