{"id":700,"date":"2017-12-21T13:44:26","date_gmt":"2017-12-21T12:44:26","guid":{"rendered":"https:\/\/testwebsite.2018.eswc-conferences.org\/?page_id=700"},"modified":"2017-12-21T13:47:48","modified_gmt":"2017-12-21T12:47:48","slug":"benchmarking-and-empirical-evaluation","status":"publish","type":"page","link":"\/subtracks\/benchmarking-and-empirical-evaluation\/","title":{"rendered":"Benchmarking and Empirical Evaluation"},"content":{"rendered":"
The Semantic Web and Linked Data has been an active area of research for several years. For the first time, the 15th edition of the Extended Semantic Web conference runs the Benchmarking and Empirical Evaluation Track. Its goal is to provide a place for in-depth experimental studies and benchmarks of significant scale, which have been normally considered as part of the potential submissions in other regular tracks. It aims at promoting experimental evaluations in Semantic Web\/Linked Data research trying to create a research cycle between theory and experiments as in other sciences (e.g., physics).
\nA typical paper for this track has to set its focus on the verification of an existing method by applying it to a specific task, and reporting the outcome of an experiment on an established or new dataset.
\nPapers in this track can fit in different categories:<\/p>\n
Public availability of experimental datasets is highly encouraged and will be considered in the evaluations, hence exceptions to this will need to be sufficiently justified.
\nIn addition, these papers will be more specifically judged on the basis of their:<\/p>\n
Special attention will be paid to reproducibility. Hence, experimental settings will have to be extensively described so that the results could be independently reproduced, so that counter-experiments could be designed and subsequent work is enabled to improve over the presented results. <\/p>\n Topics of interest include, but are not limited to:<\/p>\n
\nThe experimental approach is based on systematic scientific methods used in many disciplines. The page\u00a0http:\/\/explorable.com<\/a>\u00a0provides a good collection of methods, experiment design strategies, and resources.<\/p>\n<\/h2>\n
Topics:<\/strong><\/h2>\n
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