Thanks everyone for participating in the #SemWebRox Community Challenge!
Looking at the results (which have been pasted at the end of this article for convenience), I’m struck once again by the diversity of points of view in the Semantic Web community on what the key value of its technology really is. Over at Semantic University we summarized what we believe to be the two dominant camps (summary: AI-centric and flexible data management-centric) in the Semantic Web world, and the results of this exercise illustrate clearly that there are many nuances within those camps.
I’ll go into some highlights, but I think the why is still missing in many cases. It’s the classic features-not-value predicament that plagues technologists and frustrates technology marketers. We’re doing better, but we can and must do better still.
Data Flexibility: Data Integration
In terms of data flexibility, there are a number of themes that kept popping up. Aaron Bradley first called out “cheaper enterprise data integration, and Lee Feigenbaum concurred by stating, “The Semantic Web is the only scalable approach for integrating diverse data.” Another one I liked about data integration was from Abir: “Semantic Web technologies can make it possible to have true bottom-up web-scale automatic information integration.”