Schema Markup News May 28th, 2019

We’ve curated some of the big news surrounding schema markup for the week to help you stay on top of changes:

Knowledge Graph needs Social-Technical Solutions

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.

Why is JSON-LD Important to Businesses?

Although you may not have heard of JavaScript Object Notation Linked Data (JSON-LD), it is already affecting your business. Search engine giant Google has mentioned JSON-LD as a preferred means of adding structured data to web pages to make them considerably easier to parse for more accurate search engine results. JSON-LD implements linked data standards within the JSON format, so it’s possible to link to the vast world of data with those standards — whether in knowledge graphs with linked enterprise data or on the web with linked open data.

Structured Data Markup for How-to and FAQs released by Google Officially

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.

Semantic Frames and Word Embeddings at Google

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.

Questionnaire: Semantic Web Perspectives [RESULTS]

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: 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.

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