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Semantic SocietiesUncovering new research pathsEngaging members better
Charlie Rapple, TBI Communications
SSP Annual Meeting 2010
Society for Scholarly Publishing
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What we will cover
The contextThe visionThe experimentThe realityThe futureThe vision (redux)
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Context: technology and publishing
Online publishing ≠ digital publishingPrint + PDF ≠ digitalPDF = 0Print + PDF = print
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Context: hidden knowledge
“It is quite depressive to think that we are spending millions in grants for people to perform experiments, produce new knowledge, hide this knowledge in a often badly written text and then spend some more millions trying to second guess what the authors really did and found”
Amos Bairoch, Nature Precedings, via Biochemical Journal
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Waiting for innovation to go away
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Context: societies and publishing
Threats from all sidesBudget cuts, big deals, open accessChanging user behaviourAutonomous professional networks
But retain unique / vital role Mission-driven publishingFunding and dissemination of research
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The Vision
© Wen Nag via Flickr
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Speeding up scientific progress
What semantic data analysis can add to research information
How societies could add value to content strengthen role in communitymeet emerging needs of members
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The Experiment
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Breathing Space
The first semantic web collaboration between scholarly societies
Exploring the value of compiling and mining a critical mass of data within a discipline ERS and ATS together account for 30% of citations within respiratory medicine
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Why
To find out whether semantic web technologies are useful in practice
To better support teaching, research and learning by exploring new ways of finding research material
To position societies as leaders in respiratory research by providing more effective, interesting tools
To help authors achieve higher visibility
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How
Publishing Technology’s pub2web platform
Semantic content storage and analysis (data mining)
Interconnecting content based on citations, keyword density and author relationships
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Where
http://respiratory.publishingtechnology.com
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What: semantic browsing
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What: concept homepages
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What: concept tagclouds
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What: faceted search
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What: enhanced article homepage
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What: author homepage
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Author profiles
http://www.researchprofiles.collexis.com/ohsuV3/expert.asp?n=Dorsa%2C+Daniel+M&u_id=428
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The Reality
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Challenges
Finding an altruistic technology partner!Acquiring dataHerding catsDefining parameters for data miningMaking the horse drinkFinding convincing examples
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The Future
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Lessons learned
Free = low priority
Data mining = inexact; science = exact
Context = blinkers
Examples are key to explanation
Advocates are key to spreading the word
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Future developments
Phase IContinue roll out to widen usageUsage analysisQualitative feedback / research
Phase IIAdd more journals?Develop additional functionality around authors?Provide curation tools to editors?
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The Vision (Redux)
© Sadia Raval via Flickr