Integration of Information Retrieval Techniques into a Referral System for Knowledge Management

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dc.contributor.advisorDr Munindar Singh, Committee Chairen_US
dc.contributor.advisorDr Peng Ning, Committee Memberen_US
dc.contributor.advisorDr Mona Singh, Committee Memberen_US
dc.contributor.authorPalathingal, Paul Joseen_US
dc.date.accessioned2010-04-02T17:58:27Z
dc.date.available2010-04-02T17:58:27Z
dc.date.issued2002-10-10en_US
dc.degree.disciplineComputer Scienceen_US
dc.degree.levelthesisen_US
dc.degree.nameMSen_US
dc.description.abstractSocial networks potentially form a huge repository of private knowledge that is unavailable on any search engine. The Multi Agent Referral system (MARS) prototype is a tool for building and exploiting social networks. Referral chains represent social networks and are used to request for experts in a particular field. The MARS system uses software agents to automate the search of information and expertise. However information about a user's expertise is not readily available. Also currently most systems do not exploit the fact that the user's document repository is a good pointer to other user's interests. By contrast this paper shows how to use Information Retrieval techniques to be able to answer queries and also make referrals on behalf of the user. TFIDF (Term Frequency Inverse Document Frequency) indexing is implemented on user documents and messages to determine user interests. A simulation has been carried out and results of the simulation are presented. This thesis studies the effects of using term and document frequency indexing for information retrieval on user documents and messages in the MARS prototype.en_US
dc.identifier.otheretd-10092002-090245en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/793
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectinformation retrievalen_US
dc.subjectMARSen_US
dc.subjectreferral systemen_US
dc.subjecttfidfen_US
dc.subjectdocument frequency indexingen_US
dc.subjectknowledge managementen_US
dc.subjectexpertise locationen_US
dc.subjectreferral systemsen_US
dc.titleIntegration of Information Retrieval Techniques into a Referral System for Knowledge Managementen_US

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