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7 Conclusion

In this chapter we have presented tools for conversion and extraction of data into RDF that were developed in the context of the LOD2 project. Specifically, the DBpedia Extraction Framework supports the extraction of knowledge from Wikis such as Wikipedia, the RDFa, Microdata and Microformats Extraction Framework crawls and collects data from the Web and Rozeta enables users to create and refine terminological data such as dictionaries and thesauri from natural language text. Once this data has been extracted and lifted to RDF, tools such as ORE and RDFUnit can analyse data quality and repair errors via a GUI. The presented tools are open source and make part of the Linked Data stack (see Chap. 6). The tools have been extensively evaluated, for the details the reader is referred to the respective sections, cited articles and tools' webpages. These tools have been applied within LOD2 project, e.g. in a media publishing, enterprise and public procurement use cases, for the details see Chaps. 7, 8 and 10 of the present book, respectively.

Open Access. This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.


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