Optimising information retrieval from the web in low-bandwidth environments

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dc.contributor.advisorSuleman, Husseinen_ZA
dc.contributor.authorBalluck, Ashwinkoomarsingen_ZA
dc.date.accessioned2014-10-29T10:08:52Z
dc.date.available2014-10-29T10:08:52Z
dc.date.issued2007en_ZA
dc.descriptionIncludes bibliographical references (leaves 52-58).en_ZA
dc.description.abstractThe Internet has potential to deliver information to Web users that have no other way of getting to those resources. However, information on the Web is scattered without any proper semantics for classifying them and thus this makes information discovery difficult. Thus, to ease the querying of this huge bin of information, developers have built tools amongst which are the search engines and Web directories. However, for these tools to give optimal results, two factors need to be given due importance: the users' ability to use these tools and the bandwidth that is present in these environments. Unfortunately, after an initial study, none of these two factors were present in Mauritius where low bandwidth prevails. Hence, this study helps us get a better idea of how users use the search tools. To achieve this, we designed a survey where Web users were asked about their skills in using search tools. Then, a jump page using the search boxes of different search engines was developed to provide directed guidance for effective searching in low bandwidth environments. We then conducted a further evaluation, using a sample of users to see if there were any changes in the way users access the search tools. The results from this study were then examined. We noticed that the users were initially unaware about the specificities of the different search tools thus preventing efficient use. However, during the survey, they were educated on how to use those tools and this was fruitful when a further evaluation was performed. Hence the efficient use of the search tools helped in reducing the traffic flow in low bandwidth environments.en_ZA
dc.identifier.apacitationBalluck, A. (2007). <i>Optimising information retrieval from the web in low-bandwidth environments</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Computer Science. Retrieved from http://hdl.handle.net/11427/8920en_ZA
dc.identifier.chicagocitationBalluck, Ashwinkoomarsing. <i>"Optimising information retrieval from the web in low-bandwidth environments."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Computer Science, 2007. http://hdl.handle.net/11427/8920en_ZA
dc.identifier.citationBalluck, A. 2007. Optimising information retrieval from the web in low-bandwidth environments. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Balluck, Ashwinkoomarsing AB - The Internet has potential to deliver information to Web users that have no other way of getting to those resources. However, information on the Web is scattered without any proper semantics for classifying them and thus this makes information discovery difficult. Thus, to ease the querying of this huge bin of information, developers have built tools amongst which are the search engines and Web directories. However, for these tools to give optimal results, two factors need to be given due importance: the users' ability to use these tools and the bandwidth that is present in these environments. Unfortunately, after an initial study, none of these two factors were present in Mauritius where low bandwidth prevails. Hence, this study helps us get a better idea of how users use the search tools. To achieve this, we designed a survey where Web users were asked about their skills in using search tools. Then, a jump page using the search boxes of different search engines was developed to provide directed guidance for effective searching in low bandwidth environments. We then conducted a further evaluation, using a sample of users to see if there were any changes in the way users access the search tools. The results from this study were then examined. We noticed that the users were initially unaware about the specificities of the different search tools thus preventing efficient use. However, during the survey, they were educated on how to use those tools and this was fruitful when a further evaluation was performed. Hence the efficient use of the search tools helped in reducing the traffic flow in low bandwidth environments. DA - 2007 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2007 T1 - Optimising information retrieval from the web in low-bandwidth environments TI - Optimising information retrieval from the web in low-bandwidth environments UR - http://hdl.handle.net/11427/8920 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/8920
dc.identifier.vancouvercitationBalluck A. Optimising information retrieval from the web in low-bandwidth environments. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Computer Science, 2007 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/8920en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Computer Scienceen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherInformation Technologyen_ZA
dc.titleOptimising information retrieval from the web in low-bandwidth environmentsen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMPhilen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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