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Persistent URL http://purl.org/net/epubs/work/10938038
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Record Id 10938038
Title Scenarios for Semantic Data Discovery
Abstract ENGAGE project aims to build an information infrastructure for Public Sector Information (PSI) which is typically an aggregated data published by national and local governments, or other public bodies. An automated or semi-automated discovery of PSI datasets would cater for the needs of researchers in social science, behavioral science, and economics who want to consider freely available PSI sources for their study, in addition to other data perhaps collected or compiled via a dedicated research project. The researchers could then provide either an explicit or an implicit feedback for the relevance of the discovered PSI to their research needs. This would add up to the quality of data exposed via ENGAGE infrastructure, and empower other ENGAGE users: researchers, as well as citizens who are the second major ENGAGE user category, with the links from PSI aggregated data to the concepts and other datasets including well curated micro-data.
Organisation STFC , SCI-COMP
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Language English (EN)
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Presentation Presented at IASSIST (International Association for Social Science Information Services and Technology ) 2013 Conference (IASSIST 2013), Cologne, Germany, 28-31 May 2013. IASSIST poster pr…tation and flyer.ppt 2013