Enterprise Search Tactics for Expertise Location

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atmire.migration.oldid1664
dc.contributor.advisorAlhajj, Reda
dc.contributor.authorReinhart, Ian
dc.date.accessioned2013-12-09T18:15:58Z
dc.date.available2014-03-15T07:00:15Z
dc.date.issued2013-12-09
dc.date.submitted2013en
dc.description.abstractA discussion on the intricacies of enterprise search; contrasting web search, the systems distributed nature, various applications, and evaluation measures. Following this, a shift in focus to expertise search and the development of the Terrorist Expertise Locator (TEL), built using the latest open source enterprise search technology. Implementation follows an enterprise search methodology centered on tuning relevancy for the applicable dataset, in this case the Global Terrorism Database (GTD). Data analysis drives the application of information retrieval and information extraction techniques; stemming, query expansion, query operators, and document quality weighting. Evaluation of the enterprise search engine, in various configurations, provide insight into best practices used to improve relevancy. Three expertise calculation methods are compared; count-based, relevancy weighted, and expertise weighted. Validation of results are established by cross-referencing un-indexed popular media and government sources, including CBC news reports and FBI declassified files.en_US
dc.identifier.citationReinhart, I. (2013). Enterprise Search Tactics for Expertise Location (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25914en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/25914
dc.identifier.urihttp://hdl.handle.net/11023/1180
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectInformation Science
dc.subjectComputer Science
dc.subject.classificationenterprise searchen_US
dc.subject.classificationexpertise locationen_US
dc.titleEnterprise Search Tactics for Expertise Location
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue

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