Welcome to Semantic eScience 2011 Fall Class!
General Meeting Information
Agenda
- use case review
- use case presentations
- project group building
- group meetings
Attendance
- Han Wang
- Sumitra Madhav
- Katie Dunn
- Linyun Fu
- Michael Garber-Barron
- Amar
- Rohan Dhruva
- Hithika Chhaochharia
- Kathyayani
- Amruta
- Charisma-F
- Apurva Tiwari
Past Action Items
Action Items
Notes
- Use case review -- Each student should upload their presentation and use case submission http://tw.rpi.edu/web/http%3A/%252Ftw.rpi.edu/web/Courses/SemanticeScience/Partof2Assignment2Submission -- instruction available at http://tw.rpi.edu/web/Help/UploadLinkToMedia
- Use case presentations
- Katie Dunn
- starts at 1:18pm
- title: Millennium Development Goals Dashboard
- key elements of the activity: goals, targets and indicators, from general to specific
- eg: goal: reduce child mortality; target: reduce by 2/3; indicator: mortality rate of children below year 5.
- proposal: create a dash board for the goals, one diagram for each indicator containing statistics of the indicator for each year and plotting lines. Data from different regions can be put on the same diagram for the purpose of comparison.
- comment: the semantic part of this project seems weak.
- question: what visualization tools to use? answer: google visualizaion tools
- comment: slicing indicator into years and countries may make use of semantic technologies
- Gill William
- starts at 1:38pm
- title: Journalists searching for Faculty
- background: at http://faculty.rpi.edu/ faculties put their information online, journalists get this information by searching with terms, either broad or narrow; faculties want to be unique by using unique terms to describe themselves
- proposal: add key words from publications and news terms to the faculty descriptions so the faculties are more easily searchable
- comment: term list is not ready yet
- question: how to get news terms? answer: communications office will take care of them
- Han Wang
- starts at 1:51pm
- title: Analyzing energy sources for electricity generation
- the project is about energy sources and their emissions, the goal is to answer questions such as how widely renewable energy is used in the US and what's the total amount of emissions from energy sources in New York state
- in data.gov, energy source data and emission data are separated and it is not straightforward to do mapping between them; using ontologies may help solve the problem
- comment: energy expert is not found around the table
- Charisma-F.A.L
- starts at 2:02pm
- title: Weather/climate informatics
- motivation: businesses depend on weather information
- key actors: researcher, global water, ESRI, AccuWeather, weather information system, media, radio, YNN, farmers/construction/transportation companies
- question: is the workflow doable? answer: not implemented yet
- Apurva Tiwari
- starts at 2:12pm
- title: Ignition temperature, calorific value, and toxic by-products of chemical compounds
- use chemical ontologies, ChEBI http://www.ebi.ac.uk/chebi/, web book chemistry data set
- comment: threshold for toxicity expected
- Rohan Dhruva
- starts at 2:20pm
- title: TB (tuberculosis) patient data analysis
- key actor: CDC http://www.cdc.gov/ and Health Department http://www.health.state.ny.us/
- potential usage: hotspot and trend discovery
- comment: data availability is a major concern
- question: how to take action to prevent a TB burst
- Use case reiteration
- Dominic DiFranzo presents air quality portal
- Break into project groups
- Mushroom: Michael, Katie, Han, David
- Air: William, Linyun, Charisma, Rohan, Apurva
- Health: Amuruta, Amar, Sumitra, Hithika, Kathyayani
- Find missing students
- Go over Assignment 3 http://tw.rpi.edu/media/latest/SemanticeScience_ontology_project.pdf
- First version due: Nov 14th
- Group meetings -- Air quality portal group
- Dominic DiFranzo: difrad@rpi.edu
- Charisma-F.A.L: ladiwc@rpi.edu
- Rohan Dhruva: dhruvr@rpi.edu
- william: gillw3@rpi.edu
- Linyun: ful2@rpi.edu
- Apurva Tiwari: tiwara2@rpi.edu
- put health data side by side with air quality data
- EPA regulations and state regulations
- Apurva has pollen data
- Output could be alerts and suggestions
- zip codes may be replaced by geo names
- William is familiar with openlayers
- connect with Ping to integrate water quality data
- we can set up a doodle page for our next meeting -- Linyun will do this
- Linyun will try to find EPA policies and regulations on air quality