Adaptable Crawler Specification Generation System for Leisure Activity RSS Feeds

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dc.contributor.advisorPaula, A.
dc.contributor.advisorGrootjen, F.A.
dc.contributor.authorLubbers, M.
dc.date.issued2015-07-08
dc.description.abstractWhen looking for an activity in a bar or trying to find a good movie it often seems difficult to find complete and correct information about the event. Hyperleap tries to solve this problem of bad information giving by bundling the information from various sources and invest in good quality checking. Currently information retrieval is performed using site-specific crawlers, when a crawler breaks the feedback loop for fixing it contains different steps and requires someone with a computer science background. A crawler generation system has been created that uses directed acyclic word graphs to assist solving the feedback loop problem. The system allows users with no particular computer science background to create, edit and test crawlers for RSS feeds. In this way the feedback loop for broken crawlers is shortened, new sources can be incorporated in the database quicker and, most importantly, the information about the latest movie show, theater production or conference will reach the people looking for it as fast as possible.en_US
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/220
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationBachelor Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeBacheloren_US
dc.titleAdaptable Crawler Specification Generation System for Leisure Activity RSS Feedsen_US
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