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DC Field | Value | Language |
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dc.thesis.supervisor | Goonetilake, M.D.J.S. (Dr.) | - |
dc.contributor.author | Kumari, W.A.G.C. | en_US |
dc.date.accessioned | 2013-12-24T04:02:08Z | - |
dc.date.available | 2013-12-24T04:02:08Z | - |
dc.date.issued | 12/24/2013 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/1806 | - |
dc.description.abstract | Relational databases are based on the closed world assumption. When data is required from the database, it provides results only if relevant data is avail- able in the database. Closed world assumption is no longer valid when we need to get a decision or acquire knowledge on some matter that changes due to environment factors or current circumstances. Open database con- cept provide new path to obtain new data from people who have instinct and thorough knowledge in a particular domain. Expertise sense what will happen next in their eld and crowdsourcing concept is used for contact ex- pertise. To accomplish real usage of crowdsourcing, user interfaces must be designed in a simple and elegance way. Concentration must give to select perceptual organization, semiotics, text and colour of user interface to ac- quire correct and fast responses. Acquiring data using human as sensors in answering question will open new knowledge access approach. | en_US |
dc.title | CrowdSense: Open Database Concept for Data Acquisition Using Human Sensing | en_US |
Appears in Collections: | SCS Individual Project - Final Thesis (2012) |
Files in This Item:
File | Description | Size | Format | |
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36.pdf Restricted Access | 1.75 MB | Adobe PDF | View/Open Request a copy |
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