Abstract
As more organizations rely on externally-produced information, an important issue is how to develop conceptual models for such data. Considering the limitations of traditional conceptual modeling, we propose a “lightweight” modeling alternative to traditional “class-based” conceptual modeling as typified by the E-R model. We demonstrate the approach using a real-world crowdsourcing project, NLNature.
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Lukyanenko, R., Parsons, J. (2013). Lightweight Conceptual Modeling for Crowdsourcing. In: Ng, W., Storey, V.C., Trujillo, J.C. (eds) Conceptual Modeling. ER 2013. Lecture Notes in Computer Science, vol 8217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41924-9_46
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DOI: https://doi.org/10.1007/978-3-642-41924-9_46
Publisher Name: Springer, Berlin, Heidelberg
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