Community Information Service Omid Fatemieh CS 598 CXZ Department of Computer Science University of Illinois at Urbana-Champaign.

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Presentation transcript:

Community Information Service Omid Fatemieh CS 598 CXZ Department of Computer Science University of Illinois at Urbana-Champaign

Current Limitations Information –Creation: Requires a prof/student to summarize information and discussions and Update web sites Write technical reports Write papers –Storage: Not very well organized and integrated; Scattered in: Web sites Personal computers of professors and students Spaces on department machines

Current Limitations (cont’d) Information: –Transformation: Requires a prof/student to gather different sources of information and put them together to have the platform for adding new ideas. –Transportation: Something should be published or be neatly put on the web site so that it can be somehow transported to other places. It can also be done through –Takes a lot of time –May not be comprehensive

Current Limitations (cont’d) Information: –Consumption: Usually requires doing a lot of keyword-driven searchs on different –Professor / students’ web sites –Research groups’ web sites –Related conferences and talks Q: How can we better assist people in academia to: –Speed up the information cycle –Make the above life cycle easier to maintain and use?

Solution Integrated Entity Based Information System with Support for Summarization and Q/A Queries (EBISQA) Entities can be students, professors, research groups, classes, projects, and even the department itself. Assigned to each entity: –A knowledge base (profile) which basically keeps track of and summarizes whatever happens to that entity. –Support for Q/A queries on that Entity for people at different levels: The entity itself! People/Entities inside specific groups People inside the department People inside the university People outside the university

Example Entity: Omid Assumption: There are speech recognition facilities everywhere backed up by strong NLP techniques and summarization algorithms! Kind if information that goes into his profile: –Summary of the papers/topics discussed in the classes and seminars he attends –Summary of his meetings with his supervisor –Summary of non-personal messages ( s) he sends and receives –All the papers he accesses and projects he works on –Almost everything he does, except for those he flags them as personal.

Solution (cont’d) Privacy Issues: Support for Q/A queries on his profile at different levels: –Some of them determined by him. –Some of them determined by department policies! Motivations Problem: Why I would like to be somehow under “Investigation” all the time? –Will help me in getting more out of my classes, meetings, seminars, by performing searches on my own profile later. –Would help me find a job, if I provide access to my profile to employers. I would spend $10M on: –Summarization techniques –NLP algorithms –Q/A queries

Sorry if it was too ambitious! Thank you