dc.contributor.advisor | Tekinerdoğan, Bedir | |
dc.contributor.author | Kalender, Mert Emin | |
dc.date.accessioned | 2016-01-08T18:28:13Z | |
dc.date.available | 2016-01-08T18:28:13Z | |
dc.date.issued | 2014 | |
dc.identifier.uri | http://hdl.handle.net/11693/15991 | |
dc.description | Ankara : The Department of Computer Engineering and the Graduate School of Engineering and Science of Bilkent University, 2014. | en_US |
dc.description | Thesis (Master's) -- Bilkent University, 2014. | en_US |
dc.description | Includes bibliographical references leaves 79-82. | en_US |
dc.description.abstract | The scale of collaboration between people and computers has expanded leading
to new era of computation called crowdsourcing. A variety of problems can be
solved with this new approach by employing people to complete tasks that cannot
be computerized. However, the existing approaches are focused on simplicity
and independency of tasks that fall short to solve complex and sophisticated
problems. We present Crowdy, a general-purpose and extensible crowdsourcing
platform that lets users perform computations to solve complex problems
using both computers and human workers. The platform is developed based
on the stream-processing paradigm in which operators execute on the continuos
stream of data elements. The proposed architecture provides a standard toolkit
of operators for computation and configuration support to control and coordinate
resources. There is no rigid structure or requirement that could limit the
problem-set, which can be solved with the stream-based approach. The streambased
human-computation approach is implemented and verified over different
scenarios. Results show that sophisticated problems can be easily solved without
significant amount of work for implementation. Also possible improvements are
discussed and identified that is a promising future work for the existing work. | en_US |
dc.description.statementofresponsibility | Kalender, Mert Emin | en_US |
dc.format.extent | xii, 82 leaves, illustrations, graphics | en_US |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Crowdsourcing | en_US |
dc.subject | human computation | en_US |
dc.subject | stream processing | en_US |
dc.subject.lcc | QA76.9.H84 K34 2014 | en_US |
dc.subject.lcsh | Crowdsourcing. | en_US |
dc.subject.lcsh | Human-computer interaction. | en_US |
dc.subject.lcsh | Human computation. | en_US |
dc.title | Crowdy a framework for supporting socio-technical software : ecosystems with stream-based human computation | en_US |
dc.type | Thesis | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.publisher | Bilkent University | en_US |
dc.description.degree | M.S. | en_US |
dc.identifier.itemid | B125351 | |