The document summarizes lessons learned from analyzing over 100 Semantic Web applications from challenge competitions over the past decade. It finds that while standards like RDF, OWL and SPARQL are widely used, there remain gaps in publishing and updating Linked Data. Most applications require human intervention for data integration due to noisy RDF data. There is also a mismatch between graph-based data models and relational/object-oriented components. The document recommends addressing these issues through more guidelines, libraries, and software frameworks to improve the software engineering process for building Semantic Web applications.
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