EIRA - An Application for Finding and Ranking Researchers

dc.contributor.authorHäggander, Hannes
dc.contributor.authorLetterkrantz, Rasmus
dc.contributor.authorRahn, Fredrik
dc.contributor.authorSievers, Erik
dc.contributor.authorThom é, Pontus
dc.contributor.departmentGöteborgs universitet/Institutionen för data- och informationsteknikswe
dc.contributor.departmentUniversity of Gothenburg/Department of Computer Science and Engineeringeng
dc.date.accessioned2016-11-15T09:09:51Z
dc.date.available2016-11-15T09:09:51Z
dc.date.issued2016-11-15
dc.description.abstractThe purpose of the project is to deliver a proof of concept application that is expected to solve an issue related to nding suitable researchers for research groups. The system that organizations use, as of writing this report, is to post a request for application. This means that an organization published a request for research to be performed within a specific field and the budget attributed to the research project. Researchers then nd the request and sends an application. We developed EIRA with the intention of changing this process and allow the organizations to find researchers that could be a good fit for these projects. <br><br> This report covers our development of the cognitive assistant EIRA (Entity Indexed Ranking Application). EIRA can find researchers related to the medical field. The researchers are extracted from different data sources and currently EIRA uses the Scopus database and Microsoft Academic. The application consists of four custom micro services built in Node.js using Promises. EIRA provides a user interface written in AngularJS to handle all interaction with the services.sv
dc.identifier.urihttp://hdl.handle.net/2077/49470
dc.language.isoengsv
dc.setspec.uppsokTechnology
dc.titleEIRA - An Application for Finding and Ranking Researcherssv
dc.typetext
dc.type.degreeStudent essay
dc.type.uppsokM2

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