Abstract
Linked Data has played a vital role in the realization of the Semantic Web on a global level. It motivates people to publish datasets which can be important for information linking and discovery and can further make contributions in streamlining the Web as a single connected data space. This effort has successfully amassed a variety of Linked Data and has introduced many novel ways for the publishing of data. As a result, putting Linked Data online has become rather easy, but actually linking the data with already existing data in the cloud is still a challenge. The search and identification of relevant datasets as well as devising a strategy for linking to these datasets is still a difficult task. In this paper, a novel approach is presented which highlights and implements the steps involved in the interlinking process. This approach is further applied and presented as a case study focusing on interlinking scholarly communication datasets and highlighting the potential benefits.
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Latif, A., Hoefler, P., Tochtermann, K. (2012). Interlinking Scientific Authors with the LOD Cloud: A Case Study. In: Benlamri, R. (eds) Networked Digital Technologies. NDT 2012. Communications in Computer and Information Science, vol 294. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30567-2_9
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DOI: https://doi.org/10.1007/978-3-642-30567-2_9
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