This document is designed as being a simple but comprehensive introductory publication for anybody trying to get into the Semantic Web: from beginners through to long time hackers.
A. Slivkins. (2019)cite arxiv:1904.07272Comment: The manuscript is complete, but comments are very welcome! To be published with Foundations and Trends in Machine Learning.
A. Cimatti, F. Fraternali, and C. Nipoti. (2019)cite arxiv:1912.06216Comment: 17 pages, 3 figures, first introductory chapter of the textbook published by Cambridge University Press. For more information https://decdb4ae-c884-4971-9114-5f11b6929fd9.filesusr.com/ugd/f44359_26d2207ea96e4f359636feb5b7473336.pdf.
U. Menne. (2017)cite arxiv:1705.05253Comment: The present text is a version with additional references but without figures of a note compiled for the Notices of the American Mathematical Society. (v4: considerably expanded introduction, 6 pages).
J. Dahlin, and T. Schön. (2015)cite arxiv:1511.01707v4.pdfComment: 36 pages, 8 figures. Submitted to Journal of Statisical Software. Fixed typos and made minior revisions. Source code for R, Python and MATLAB available at: https://github.com/compops/pmh-tutorial.