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Community Information Service

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

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Community Information Service

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

  2. 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

  3. 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 email: • Takes a lot of time • May not be comprehensive

  4. 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?

  5. 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

  6. 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 (e-mails) 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.

  7. 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

  8. Sorry if it was too ambitious! Thank you

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