We’ve curated some of the big news surrounding schema markup for the week to help you stay on top of changes:
In this interview, Juan lets us know how SMEs can create value from data, what makes the Knowledge Graph so important and why CDOs and CIOs should use semantic technologies. He is an expert on knowledge graphs, semantic web, semantic & graph data management and (ontology-based) data integration.
Google also needs to maintain a balance between ads and search results which are helpful to users. For this reason, Google has rolled out various updates which helps its search users get the result they want easily and conveniently. One of these features is the rich snippets that we see on almost every Google search result nowadays.
Google has been working on exploring ways to pre-train text, so that not only can this natural language processing approach understand what might be missing, but possibly so that contexts and meanings of words can be better understood. The words we speak can be described as fitting into semantic frames that give them meaning. Same is true with the words that we use on a Website. If a pre-training approach can associate possible semantic frames that words might fit into, that may make this kind of natural language processing more effective.
The idea for the questionnaire came from an editorial article I was writing for the 10-year Special Issue of the Semantic Web Journal, a public draft of which I’ve just resubmitted here: http://semantic-web-journal.net/content/semantic-web-two-decades The draft contains some discussion of the points of critique raised in the questionnaire, along with the results of the questionnaire and some general conclusions/insights.