NISO/NFAIS Joint Virtual Conference: Connecting the Library to the Wider World: Successful Applications of Linked Data
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The document outlines a webinar presented by Marjorie M.K. Hlava, focusing on the concept of linked data, its potential, and best practices for automating the linking of datasets. It discusses the principles of linked data, leveraging taxonomies and ontologies, and emphasizes the importance of persistent URIs and RDF triples in creating a semantic web. Additionally, the document introduces Access Innovations, an expert organization in content creation and management, which provides services to enrich, structure, and improve data accessibility.
NISO/NFAIS Joint Virtual Conference: Connecting the Library to the Wider World: Successful Applications of Linked Data
- 1. NISO – NFAIS Webinar www.accessinn.com www.dataharmony.com 505-998-0800 Marjorie M.K. Hlava President and Chief Scientist Access Innovations, Inc. Linked Data: Making it a Reality
- 2. Outline of the talk Linked data potential Leveraging the Thesaurus / Taxonomy/ Ontology Automating the linking Workflow possibilities Linked data principles A few cautions
- 3. Linked Data: Many definitions Mash Ups Live linking from multiple sources Linking out to external datasets Linking persistent URIs to datasets Linked Data Repositories Defining relationships in RDF triples Taxonomies, thesauri, ontologies Triple stores SKOS or OWL format
- 4. Authors at a place MASHUP locations to a GPS grid of an area Two data points GPS Coordinates Taxonomy description of the place
- 5. Live linking from multiple sources Copyright © 2013 Access Innovations, Inc.
- 6. Watch Crime in Action
- 7. Time, Place, Type of Activity
- 8. Consider more personnel at these locations Two data points GPS Coordinates Taxonomy description of the crime
- 9. Points to Linked Data Point to relevant resources via URL’s Leverage the thesaurus for rich ontology Link to other data repositories Databases People nets Resource files DBpedia
- 10. More Like This - Recommender Cancer Epidemiology Biomarkers & Prevention Vol. 12, 161-164, February 2003 © 2003 American Association for Cancer Research Short Communications Related Press Releases •How What and How Much We Eat (And Drink) Affects Our Risk of Cancer •Novel COX-2 Combination Treatment May Reduce Colon Cancer Risk Combination Regimen of COX-2 Inhibitor and Fish Oil Causes Cell Death •COX-2 Levels Are Elevated in Smokers Alcohol, Folate, Methionine, and Risk of Incident Breast Cancer in the American Cancer Society Cancer Prevention Study II Nutrition Cohort Heather Spencer Feigelson1, Carolyn R. Jonas, Andreas S. Robertson, Marjorie L. McCullough, Michael J. Thun and Eugenia E. Calle Department of Epidemiology and Surveillance Research, American Cancer Society, National Home Office, Atlanta, Georgia 30329-4251 Related AACR Workshops and Conferences •Frontiers in Cancer Prevention Research •Continuing Medical Education (CME) •Molecular Targets and Cancer Therapeutics Related Meeting Abstracts •Association between dietary folate intake, alcohol intake, and methylenetetrahydrofolate reductase C677T and A1298C polymorphisms and subsequent breast •Folate, folate cofactor, and alcohol intakes and risk for colorectal adenoma •Dietary folate intake and risk of prostate cancer in a large prospective cohort study Recent studies suggest that the increased risk of breast cancer associated with alcohol consumption may be reduced by adequate folate intake. We examined this question among 66,561 postmenopausalwomen in the American Cancer Society Cancer Prevention Study II Nutrition Cohort. Related Working Groups •Finance •Charter •Molecular Epidemiology Related Education Book Content Oral Contraceptives, Postmenopausal Hormones, and Breast Cancer Physical Activity and Cancer Hormonal Interventions: From Adjuvant Therapy to Breast Cancer Prevention Think Tank Report Related Think Tank Report Content Webcasts Related Webcasts Related Awards •AACR-GlaxoSmithKline Clinical Cancer Research Scholar Awards •ACS Award •Weinstein Distinguished Lecture
- 11. Link to Many Resources Journal Article on Topic A Other Journal Articles on Topic A Upcoming Conference on Topic A Podcast Interview with Researcher Working on Topic A Grant Available for Researchers Working on Topic A CME Activity on Topic A Job Posting for Expert on Topic A
- 12. Selected Article Search “thin film sputtering” More Articles on the same topic Grants available Upcoming conferences on this topic Authors working in this space
- 13. Optics Definition of the concept Links to concept pages in other sources (OSA, SPIE, IOP, AIP, etc.) Link to Journals that publish on the subject People and companies in the space Optics DBpedia http://dbpedia.org/page/Optics Etc.
- 14. Linking Optics
- 16. Linking Workflow Link content to external databank Make Potential URI matches QC for the thesaurus domain Matched URIs enrich the content
- 17. Linking Workflow Taxonomy Term DBpedia Potential Match Retry? Add to Statistics Report QC: Match? Add Definition to Thesaurus SPARQL Definition : Query Add URI to Thesaurus SILK Query NO YES Returns URI
- 18. Phrasing of Concepts will Vary Exact concept match add the URI to a field in the thesaurus. Different phrasing Research funding “Funding of science” SILK http://personal.sirma.bg/vladimir/misc/silk-book. pdf False matches Ecosystem engineering vs Ecosystem engineer
- 19. Automating the Linking Not every concept will have a match Or a resource page Semantic functionality – Lots of synonyms will help Proximity and other rules Create new resources or landing pages
- 20. Linking Out to External Datasets Link Thesaurus Preferred Terms Resource describing the thesaurus concept SKOS parlance, is “the same as” Identify DBpedia pages for each term Identify other sources Backfill knowledge gaps Concept exists No content pages yet available
- 24. Every circle a link to other data … or ads
- 25. The Glue To connect – a communication point API’s Application Programming Interface JDBC, ODBC Web Calls – Web Services Data transfer formats RDF Serialization formats
- 26. RDF serialization formats Turtle a compact, human-friendly format. N-Triples a very simple, easy-to-parse, line-based format that is not as compact as Turtle. N-Quads a superset of N-Triples, for serializing multiple RDF graphs. JSON-LD a JSON-based serialization. N3 or Notation 3 a non-standard serialization that is very similar to Turtle, but has some additional features, such as the ability to define inference rules. RDF/XML an XML-based syntax that was the first standard format for serializing RDF.
- 27. But What about Triples? SKOS Simple Knowledge Organization System Triples RDF Statements Resource Description Format Subject Object Predicate OWL Web Ontology Language Formats
- 28. Recursive triple challenges The Edition is in London The Edition is a hotel The book has a second edition Therefore = The book is a hotel Margie is a member of NFAIS NFAIS is in Baltimore Therefore = Margie is in Baltimore Need clear disambiguation = thesaurus
- 29. Metrics – Measuring Accuracy The level of accuracy with which we matched concepts; How many match correctly? How many match incorrectly? The number of concepts with no match Number of autolink populated pages
- 30. 5 Star Merits
- 31. Two Linked Data Camps Linked data Linked OPEN data Free or security gate Linking within a collection Linking with permission Linking freely on the web
- 32. Linked Data is about Using the Web to connect related data that wasn't previously linked, Using the Web to lower the barriers to linking data currently linked using other methods. A recommended best practice for exposing, sharing, and connecting pieces of data, information, and Knowledge Using URI’s and RDF to create a semantic web
- 33. Linked Data Principles Use URIs as names for things Use HTTP URIs so that people can look up those names. When someone looks up a URI, provide useful information, using the standards (RDF*, SPARQL) Include links to other URIs. so that they can discover more things.
- 34. The Linked Data Community W3C standards and working groups RDF Linked Open Data Repositories Dublin Core – DCMI
- 35. More Buzzwords FOAF Subject – Object – Predicate Graph view – two ends of a link Deference Dog food SPARQL … its easy to quickly get into the weeds
- 36. Linking Open Data Cloud
- 37. Linking Open Data Cloud
- 38. Linked Data Cautions Never change your URI’s – It will break the links or maintain a map… Need persistent identifiers ..SQL indicates a relational database JAVA & Object Oriented Databases not broadly supported yet. Insure that your triples are not recursive loops
- 39. It’s What We Do With the Data The formats will continue to vary Words will continue to be a challenge Its what we do with the data that is important. The delivery The concepts Allowing the user to find the thread and follow it instead of giving them yet another resource to go to.
- 41. We covered… Linked data potential Leveraging the Thesaurus / Taxonomy/ Ontology Automating the linking Linked data principles A few cautions Now…
- 42. It Just Takes a Little Imagination Thank you Marjorie M.K. Hlava, President Access Innovations 505-998-0800 [email protected]
- 43. What we do Access Innovations Ensure clean, well formed content Create Knowledge Organization Systems (KOS) Data Harmony Tools To automatically index content To manage KOS and more To semantically enrich the content To organize the content Access Integrity Automated Medical Coding Support 43
- 44. About Access Innovations Access Innovations are experts in content creation, enrichment, and conversion services. We provide services to semantically enrich and tag raw text into highly structured data. We deliver clean, well-formed, metadata-enriched content so our clients can reuse, repurpose, store, and find their knowledge assets. We go beyond the standards to build taxonomies and other data control structures as a solid foundation for your information. Our services and software allow organizations to use and present their information to both internal and external constituents by leveraging search, presentation, e-commerce and linking. We change search to found! Quick Facts • Founded in 1978 • Headquartered in Albuquerque, NM • Privately held • Delivered more than 2000 engagements
- 45. Data, Information, Knowledge Abstraction Interpretation Data Information Knowledge Data = height of Mt. Everest Information = a book on Mt. Everest geological characteristics Knowledge = a report containing practical information on the best way to reach Mt. Everest's peak
Editor's Notes
- #12: Thanks to Helen Atkins of AACR for this illustration. The real power of this is that the links can all go in all directions, so we take advantage of having the user’s attention regardless of how they step into our “web”