Web 3.0 / Semantic Web: What it means for academic users, libraries and publishers
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The document discusses the concepts of Web 3.0 and the Semantic Web and their potential implications for academic users, libraries, and publishers. It introduces key ideas like linked data, using URIs to identify concepts and relationships, and the RDF data model. It notes that while the technology is still in the early adopter phase, publishers could help by making their data openly available in semantic formats and developing services that directly connect students to relevant resources through linked open data approaches. This may help break down silos between academic institutions and help students more easily access relevant information.
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Web 3.0 / Semantic Web: What it means for academic users, libraries and publishers
- 1. Web 3.0 / Semantic Web What it means for academic users, libraries and publishers
- 3. Web 3.0 / Semantic Web What it means for academic users, libraries and publishers Where has it come from ?
- 5. Web 3.0 / Semantic Web Is it here yet ?
- 6. Technology Adoption Curve 2.5% Innovators 2.5% Innovators 2.5% Innovators 16% Laggards 34% Late Majority 34% Early Majority 13.5% Early Adopters Maturity Adoption Rate
- 7. Technology Adoption Curve 2.5% Innovators 2.5% Innovators 2.5% Innovators 16% Laggards 34% Late Majority 34% Early Majority 13.5% Early Adopters Maturity Adoption Rate Chasm
- 8. Web 3.0 / Semantic Web Linked Data
- 9. Technical bit ahead! WARNING
- 10. Linked Data URIs – a generic means to identify entities or concepts in the world HTTP – a simple yet universal mechanism for retrieving resources, or descriptions of resources RDF – a generic graph-based data model with which to structure and link data that describes things in the world SPARQL – RDF query language http://www.flickr.com/photos/hryckowian /
- 11. RDF Resource Description Framework Triples Subject --- Predicate ---> Object ALPSP --- Held at ---> BIR ALPSP --- web site ---> alpsp.org Triple Store SPARQL Query Language
- 12. Linked Data Use URIs as names for things Use HTTP URIs so people can look up those names When someone looks up a URI, provide useful information, using standards (RDF, SPARQL) Include links to other URIs. So they can discover more things. http://www.flickr.com/photos/hryckowian / Principles Tim Berners-Lee
- 13. Technical bit ahead! WARNING
- 15. Academia ? Silos
- 16. VLE Library Publisher Shared Reliable Metadata?
- 17. Publish your data DOI How Can Publishers Help? Then what?
- 23. Take the student to what they want Take the student DIRECTLY to what they want How Can Publishers Help?
- 25. Software as a Service Linked Data Platform Robust – standards based – scalable Open API access Linked Data? Talis Aspire is built on the Talis Platform
- 26. List Items / Lists / Courses / student intentions All concepts described in store Many relationships Between resources Between Courses Between resources across institutions / stores Linked Data?
- 29. Open access – open licenses Student Satisfaction drives institutions Remove barriers to access Get out of the way The market will prevail Business models ? Linked Open Data http://www.flickr.com/photos/27466406@N00/
- 30. Web 3.0 / Semantic Web What it means for academic users, libraries and publishers Change [email_address] www.talis.com www.slideshare.net/rjw
Editor's Notes
- #2: Hello…
- #3: Who’s heard of Talis Lib / Education / Platform
- #4: Who can tell me what the SW / We 3.0 is?
- #5: Waves of technology building on what went before Web 1 -> Web 2 -> Web 3
- #6: Been talked about & played with since the beginning of web TBL article Scientific American 2001 – a pipe dream? Yes it’s here but…
- #7: Describe what the curve means (without chasm) - ask where they think we are cost/risk follow the leaders - flat screen TVs To those with the technology not always obvious why/how things get adopted Hers a fairy old example.....
- #8: Describe what the curve means (without chasm) - ask where they think we are cost/risk follow the leaders - flat screen TVs To those with the technology not always obvious why/how things get adopted cassette - CD
- #9: The practical application of SW principles – Linked Data
- #10: Warning I’m getting technical for a couple of slides
- #11: Linked data means…
- #12: Brief intro to RDF Triples
- #13: Tim’s principles - explain
- #14: You can come out from behind the sofa now!
- #15: The growth of LD – Linked Open Data Cloud
- #16: Back to Academia – silos of practice/info within & between institutions & libraries & publishers
- #17: All interlinked – irony moment!
- #18: Well publish your metadata – don’t hide it Use standard identifiers
- #19: Aspire shopping based on DOI & CrossRef hosted metadata
- #20: ID scraped but Metadata looked up from Crossref
- #21: Consistent representation across lists/courses/lecturers/institutions
- #22: Enriched reliable display to student
- #23: Same for books from cat
- #24: What else can publisher do to help consumption of their material
- #25: Embedded content – no distracting brand/sales wall
- #26: So how has Linked Data enabled this
- #27: Benefits beyond ‘just an application’
- #28: Benefits in publishers – OReily article in your pack
- #29: Who’s doing this stuff? Talis Platform inderpins last 2
- #30: Linked ‘Open’ Data Your business models are going to’ have’ to change Library & Publisher
- #31: Change is what it means – quite rapid change.