作者: Elena Simperl , Paul Groth , Adriane Chapman , Emilia Kacprzak , Laura Koesten
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摘要: Generating value from data requires the ability to find, access and make sense of datasets. There are many efforts underway encourage sharing reuse, scientific publishers asking authors submit alongside manuscripts marketplaces, open portals communities. Google recently beta released a search service for datasets, which allows users discover stored in various online repositories via keyword queries. These developments foreshadow an emerging research field around dataset or retrieval that broadly encompasses frameworks, methods tools help match user need against collection Here, we survey state art commercial systems retrieval. We identify what makes its own right, with unique challenges highlight problems. look at approaches implementations related areas is drawing upon, including information retrieval, databases, entity-centric tabular order possible paths resolve these problems as well immediate next steps will take forward.