This document describes Macademia, a website that connects researchers based on shared interests. It uses an interest graph and the WikAPIdia API to identify related interests. The project team developed two new visualizations for the interest graph - a graph view that clusters related information and an interactive table view. A user study will compare the effectiveness of the new visualizations. Future work includes integrating the visualizations with the WikAPIdia library.
Objective of the Module
- Achieve more in less time
- Work more effectively
- Manage more business tasks and projects
- Contribute more to business results
I presented these slides as a keynote at the Enterprise Intelligence Workshop at KDD2016 in San francisco.
In these slides, I describe our work towards developing a Maslow's Hierarchy for Human in the Loop Data Analytics!
Deep Learning for Recommendations: Fundamentals and Advances
In this part, we focus on Graph Neural Networks for Recommendations.
Tutorial Website/slides: https://advanced-recommender-systems.github.io/ijcai2021-tutorial/
https://youtu.be/4aXk3LNTJRc
20110830 Introducing the Social Media Research FoundationMarc Smith
Description of the activities and goals of the Social Media Research Foundation. The foundation is dedicated to Open Tools, Open Data, and Open Scholarship. See: http://www.smrfoundation.org.
One project from the Social Media Research Foundation is NodeXL, the network overview, discovery and exploration add-in for Excel 2007/2010. See: http://www.smrfoundation.org
FrrbaseViz-A Tool for Exploring Freebase Using Query-Driven VisualisationMahmoud Elbattah
A tool for the interactive exploration of Freebase schema using query-driven visualisation.
http://freebaseviz.apphb.com/
The original paper was presented at International Conference on Communication, Management and Information Technology (ICCMIT 2016).
https://www.researchgate.net/publication/321716603_FreebaseViz_Interactive_Exploration_of_Freebase_Schema_Using_Query-Driven_Visualisation
Author:
Mahmoud Elbattah
National University of Ireland Galway
mahmoud.elbattah@nuigalway.ie
Exploring Machine Learning for Libraries and Archives: Present and FutureBohyun Kim
A conference presentation given by Bohyun Kim, Chief Technology Officer & Professor, University of Rhode Island Libraries, USA for the Bite-sized Internet Librarian International 2021 on September 22, 2021.
Social Network Analysis Introduction including Data Structure Graph overview. Doug Needham
Social Network Analysis Introduction including Data Structure Graph overview. Given in Cincinnati August 18th 2015 as part of the DataSeed Meetup group.
Objective of the Module
- Achieve more in less time
- Work more effectively
- Manage more business tasks and projects
- Contribute more to business results
I presented these slides as a keynote at the Enterprise Intelligence Workshop at KDD2016 in San francisco.
In these slides, I describe our work towards developing a Maslow's Hierarchy for Human in the Loop Data Analytics!
Deep Learning for Recommendations: Fundamentals and Advances
In this part, we focus on Graph Neural Networks for Recommendations.
Tutorial Website/slides: https://advanced-recommender-systems.github.io/ijcai2021-tutorial/
https://youtu.be/4aXk3LNTJRc
20110830 Introducing the Social Media Research FoundationMarc Smith
Description of the activities and goals of the Social Media Research Foundation. The foundation is dedicated to Open Tools, Open Data, and Open Scholarship. See: http://www.smrfoundation.org.
One project from the Social Media Research Foundation is NodeXL, the network overview, discovery and exploration add-in for Excel 2007/2010. See: http://www.smrfoundation.org
FrrbaseViz-A Tool for Exploring Freebase Using Query-Driven VisualisationMahmoud Elbattah
A tool for the interactive exploration of Freebase schema using query-driven visualisation.
http://freebaseviz.apphb.com/
The original paper was presented at International Conference on Communication, Management and Information Technology (ICCMIT 2016).
https://www.researchgate.net/publication/321716603_FreebaseViz_Interactive_Exploration_of_Freebase_Schema_Using_Query-Driven_Visualisation
Author:
Mahmoud Elbattah
National University of Ireland Galway
mahmoud.elbattah@nuigalway.ie
Exploring Machine Learning for Libraries and Archives: Present and FutureBohyun Kim
A conference presentation given by Bohyun Kim, Chief Technology Officer & Professor, University of Rhode Island Libraries, USA for the Bite-sized Internet Librarian International 2021 on September 22, 2021.
Social Network Analysis Introduction including Data Structure Graph overview. Doug Needham
Social Network Analysis Introduction including Data Structure Graph overview. Given in Cincinnati August 18th 2015 as part of the DataSeed Meetup group.
Knowledge Graphs - Journey to the Connected Enterprise - Data Strategy and An...Benjamin Nussbaum
We live in an era where the world is more connected than ever before and the trajectory is such that data relationships will only continue to increase with no signs of slowing down.
Connected data is the key to your business succeeding and growing in today’s connected world.
Leading enterprises will be the ones that utilize relationship-centric technologies to leverage connections from their internal operations and supply chain to their customer and user interactions. This ability to utilize connected data to understand all the nuanced relationships within their organization will propel them forward as they act on more holistic insights.
Every organization needs a knowledge graph because connected data is an essential foundation to advancing business. Knowledge graphs provide:
- Increased visibility between internal groups
- Efficiency gains
- Cross-functional data collaboration
- Core complete and reliable business insights
- Better customer engagement
The live presentation and discussion can be found here: https://youtu.be/7vBdlXzhs_4
Additional reading on why connected data is beneficial: https://www.graphgrid.com/why-connected-data-is-more-useful/
Connected data solutions available by Benjamin and his team via GraphGrid and AtomRain: https://www.graphgrid.com and https://www.atomrain.com
1. Interest-Graph
Visualization in Macademia
http://macademia.macalester.edu
https://github.com/shilad/macademia
Rebecca
Gold
Margaret
Giesel,,
Ben
Hillmann,
Matt
Lesicko
Yulun
Li,
Samuel
Naden,
Jesse
Russell,
Ari
Weiland,
Zixiao
Wang
Faculty
sponsor:
Shilad
Sen
ssen@macalester.edu
Technologies we used
•
Grails
web
framework.
•
The
WikAPIdia
data
mining
API
(created
by
our
team).
•
The
D3.js
JavaScript
visualization
framework.
Interest Graph
The
interest
graph
relates
people
based
on
related
interests.
Sites
such
as
Twitter
and
Facebook
rely
on
the
interest
graph
to
connect
users
with
people
and
things
they
will
like.
One
major
challenge
when
mining
the
graph
is
identifying
related
interests
(e.g.
“web
2.0”
and
“social
computing”).
We
developed
the
WikAPIdia
Java
library
to
address
this
problem.
What is Macademia?
•
Macademia
connects
colleagues
who
share
research
interests.
•
2500
researchers
have
created
profiles
from
250
institutions.
•
Visualizes
the
research
interest
graph
to
display
information
to
our
users
visually
about
people
with
similar
interests.
•
Serves
as
experimental
research
platform.
vs.
Old
Macademia
visualization
Person-‐centric
graph
visualization
Visualizing the Interest
Graph
• Challenge:
How
can
we
best
present
information
to
a
user?
• Old
visualization:
Too
many
lines,
difficult
to
interpret.
• Two
new
visualizations:
Use
muted
colors,
information
simplification,
visual
elements
(user
pictures,
etc)
• Graph
Visualization:
Clusters
group
related
information,
interactive
with
animated
transitions
(fig
below).
• Table
Visualization:
Simple
to
read,
straightforward
(fig
below).
Future Work
• Launching
experiment
comparing
visualizations
this
semester.
• Complete
integration
with
our
WikAPIdia
Java
library.
Person-‐centric
table
visualization
Department of Statistics, Mathematics, and Computer Science, Macalester College, St. Paul, MN