Social Media and Scientific ResearchHow Semantic Technologies Enhance Collaboration
Upcoming SlideShare
Loading in...5
×
 

Social Media and Scientific Research How Semantic Technologies Enhance Collaboration

on

  • 512 views

Darrell Gunter explores the recent trends in social media and networks at the AAP/PSP Annual meeting.

Darrell Gunter explores the recent trends in social media and networks at the AAP/PSP Annual meeting.

Statistics

Views

Total Views
512
Views on SlideShare
512
Embed Views
0

Actions

Likes
0
Downloads
9
Comments
0

0 Embeds 0

No embeds

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment
  • STM Facts Over the last 12 years, the STM industry has loaded up 90% of the 23,000 journal titles. These titles generate in access of 800,000 articles per year for an estimated author community of 5.5 million worldwide researchers. It is estimated that it takes an author 90 – 100 hours to prepare a scientific article and it will take 2 – 3 reviewers 3 – 6 hours to conduct their peer review of a single article. Considering the time it takes the author to write their scientific article, consider the daunting task of the researcher to stay up on the ever growing number of scientific articles., their time is seriously being challenged. Mark Ware’s 2006 paper on the STM industry reported that size of single journal grew from 83 to 154 articles. The length of the average article grew from 7.4 to 12.4 pages and the total pages of the journal grew to 2,216 from 820 pages. A whopping 270%. Considering these statistics are a few years old and the trend is increasing each year, we know that the researcher’s burden becomes more substantial each year. Just as challenging is the academic library’s challenge to manage their collection within their budget. Unfortunately the average publisher journal price increase is always higher than the average library’s budget for serials and monographs. While the publishing community have brought great value to the research community by providing backfiles at a very reasonable cost and providing them access to their entire library of titles. The fact remains that the library’s budget and the publisher’s subscription price increases have been and will remain in conflict with each other.  

Social Media and Scientific ResearchHow Semantic Technologies Enhance Collaboration Social Media and Scientific Research How Semantic Technologies Enhance Collaboration Presentation Transcript

  • Darrell W. Gunter EVP / CMO Collexis Holdings, Inc. February 3rd-5th, 2010 Renaissance Mayflower Hotel Washington, DC Social Media and Scientific Research How Semantic Technologies Enhance Collaboration
  • Agenda
    • What is semantic technology?
    • Social media, some key metrics
    • Industry facts and challenges
    • How semantic technology helps…
    • The future…possibilities
    • “ Scientist Still Not Joining Social Networks”
    • Posted by David Crotty
    • October 19, 2009
  •  
  •  
  •  
  •  
  • Semantic Technology
    • W3C Definition
    • The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
  • Collexis Technology KnowledgeBase Text Fingerprint Creating fingerprints from documents!
  • Resolves linguistic ‘challenges’
    • Stemming, lemmatization and Normalizing
        • Plural  singular e.g.: Diseases  disease
        • Past  present e.g.: Treated  treat
    • Multi-lingual
        • Gripe  Griep  Influenza
    • Synonyms
        • Earth  Globe
    • Disambiguation of homonyms
        • Jaguar ? Car or Animal
    • Abbreviations
        • SARS  Severa Acute Respetory Syndrom (SARS)
        • Long Form  Short Form
    • Phrases: meaningful & coherent utterances
        • e.g. blackwater fever
  • Explore instead of Searching!
  • Social Media Facts
    • stats
    • 200,000,000 – # active users
    • 100,000,000 - # users who log on to Facebook at least once each day
    • 170 - # of countries/territories that use Facebook
    • 35 - # of different languages used on Facebook
    • 2,600,000,000 – # of minutes global users in aggregate spend on Facebook daily
    • 100 – # of friends the average user has
    • 700,000,000 – # of photos added to Facebook monthly
    • 52,000 – # of applications currently available on Facebook
    • 140 - # of new applications added per day
  • Social Media Facts
    • stats
    • 1,111,991,000 – Tweets to date (see an up to the minute count here )
    • 3,000,000 – Tweets/day(March 2008) (from TechCrunch )
    • 165,414 - followers of the most popular Twitter user (@ BarackObama ) – but he’s not active
    • 86,078 – followers of the most active Twitter user ( @kevinrose )
    • 63% – Twitter users that are male (from Time )
  • Social Media Facts
    • Blogosphere stats
    • 133,000,000 – # of blogs indexed by Technorati since 2002
    • 346,000,000 – # of people globally who read blogs (comScore March 2008)
    • 900,000 – average number of blog posts in a 24 hour period
    • 1,750,000 – # of RSS subscribers to TechCrunch , the most popular Technology blog (January 2009)
    • 77% - % of active Internet users who read blogs
    • 55% – % of the blogosphere that drinks more than 2 cups of coffee per day ( source )
    • 81 - # of languages represented in the blogosphere
    • 59% – % of bloggers who have been blogging for at least 2 years
  • Social Media Facts
    • by the numbers 41 – average age of user
    • $109,703 – average household income
    • 53.5% – users with that $100k+  household income
    • 64% – site made up of male users
    • 34% – who own a smartphone
    • 80.1% – college/post grad users
    • 49% – site made up of “decision makers”
    • 6.5% - users who are an EVP/SVP/VP
    • 24% – users who have a Portfolio Value of $250k+
    • 2.3 million – number of users who have more than 3 PC’s in their home
    • 12.44 million – number of unique visitors in June, 2009
  • Social Media
            • - Launched April 2008
    • 1.8 million author profiles
    • 20+ million co-author connections
    • 3,500 Institutions
    • 190 countries
    • 6 million articles /20,000 Journals
    • 260,000 Registered Life Science Users
  • STM Industry Facts 1,2,3
  • How Semantic Technology Helps
    • Aggregate large amounts of data
    • Highlight key concepts
    • Visualization of results of weighted relevant concepts
    • Foster knowledge discovery
    • Identify Experts & Co-Authors by concepts, disease, etc.
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  • The Future…Possibilities!
    • Imagine researchers being able to conduct a similar experiment while they are in multiple locations
    • Imagine a researcher being able to check to see if their research article has already been submitted by someone else.
    • Imagine being able to find collaborators in other research disciplines in seconds based on a rare concept.
  • Semantic Technology Delivers..
    • Aggregated view of structured and unstructured data
    • Visualization of weighted relevant concepts.. Fingerprint
    • Ability to link co-authors
    • Geo-graphic views of an author’s network
    • Search by concepts
  • Thank you for your attention!
    • Darrell W. Gunter, EVP / CMO
    • [email_address] , +1.973.454.3475