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Student Research Conference
Oceanlink: Crowdsourcing Semantic Technology
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Student Research Conference
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Title
Oceanlink: Crowdsourcing Semantic Technology
Usage & Reproduction Rights
http://rightsstatements.org/vocab/InC/1.0/
Type
Video recordings
URI / Handle
http://hdl.handle.net/1961/muislandora:2986
Created
2015-01-01T00:00:00Z
Abstract
The purpose of the Oceanlink project is to create an online platform that addresses scholarly discovery and collaboration in the ocean sciences. The project leverages Semantic Web technologies, web mining, and crowdsourcing to identify links between data centers, digital repositories, and professional societies to enhance discovery, enable collaboration, and begin to assess research contribution. The total amount of human knowledge is supposedly increasing by 100% every 18 months. In order for this so-called Big Data to be harnessed it must be organized in a scalable and searchable manner. The development of new techniques to organize and search this information allows us to learn things that would not have been able to through traditional methods. Our research is allowing for collaboration on a higher level that will enable researchers to easier see what other researchers have done. They can compare projects, double check findings; do cross-sectional studies, and more. As a student researcher I will be implementing the crowdsourcing element to Oceanlink. Automated Big Data algorithms are not perfect and sometimes the connections identified by these algorithms are incorrect. Moreover, the algorithms don’t know which connections they identified incorrectly. The results need to be manually vetted and in some cases fixed by a human. Our solution is to create an innovative crowdsourcing platform. Crowdsourcing has proven vital in a number of other fields, but has yet to be integrated into Big Data research. I am exploring techniques for how this integration might work and how crowdsourcing can be extended for our purposes. Our solution, which we will discuss in this presentation, involves leveraging social media and web development to create a more effective and efficient crowdsourcing platform. My degree program is Information Technology with a Computer Science focus. Right now Big Data is huge in the computer science community. Professionals in the field are always showing off their new applications and how it is improving the world. The project’s main elements require web design and coding knowledge. Our solution will be applicable beyond the ocean sciences and will have uses in other Big Data scenarios. The need to have humans examine results from Big Data algorithms is much needed in Data Science, but has not been researched extensively.
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