Job Clouds Presented by: Laura Bright and Brian Lewis May 1st, 2006 Semantic Web / INF 385T

Presentation Overview Introduction to Topic Project Goals Technologies Used Usage Scenario Job Clouds Demo Limitations Future Development Conclusions Discussion

Introduction to Topic Job search portal with a visual component A way to search for job listings and see a visualization of popular search terms over time within the site community via a tag cloud Main Benefits Shows search terms in the tag cloud as they have appeared over time within the community Suggests other search terms that might be relevant to a search you are performing

Project Goals To develop an online application that: Provides a community based job search portal for current job seekers Has relevant and timely job listings per keyword and location specifications Provides a weighted list of searched terms based on what the users (the community) have inquired about Has a tag cloud that creates a visualization of searched terms weighted and styled according to frequency of use and timeframe

Technologies Used

Tag Cloud Specifications Weighting terms according to: Popularity Freshness Keyword terms are clickable

Job Clouds Demo

Limitations Poor Data Quality Web Services not Mature Enough Listerizer (Low quality) Zoom Clouds (Low flexibility) Limited Search Fidelity

Future Development Reveal relationships in tag visualization Create more search parameters Salary Company Name Company Size Rank search terms according to how well they match given keywords

Conclusions Web services must be highly customized in order to provide specific value Mash-ups are still programming intensive and therefore have high entry costs Job clouds service should provide more data entry points to facilitate more robust search capabilities Possibly deploy service for iSchool grad students on UT ASIST website

Discussion Questions or Comments? Thank you for your time!