Vrije Universiteit Amsterdam, IOS Press, Netherlands Institute for Sound & Vision

Technology / Software / Internet

With the Linkflows project, we want to make scientific contributions on the Web, e.g. articles, reviews, blog posts, multimedia objects, datasets, individual data entries, annotations, discussions, etc., better valorized and efficiently assessed in a way that allows for their automated interlinking, quality evaluation and inclusion in scientific workflows. Our approach is based on the novel combination of three complementary techniques for integration and assessment of scientific contributions: (1) provenance-aware semantic modeling and publishing, (2) crowdsourcing, expert nichesourcing, (3) information extraction and machine learning.