We’ve curated some of the big news surrounding schema markup for the week to help you stay on top of changes:
What is contextual search? Contextual search is defined as a search technology that focuses on the context of the query as well as the intent of the user in order to fetch the most relevant set of results. It is different from the traditional keyword based search technology that only focuses on keyword matching when fetching results. Now, the next question that comes up is whether contextual search is more efficient than the traditional approach.
Structured data is useful for performing better in Google by communicating information about a web page, produce or service. It’s one of the few quick wins that you can control. Structured data seems like it’s difficult. But it’s not. This article explores five easy wins that will help your site interact better with Google.
Structured data markup helps ecommerce merchants in two ways. First, it aids search engines in understanding the content and purpose of a web page. Second, structured data can enhance the appearance of an organic search listing, making it much more prominent.
Google is gradually moving away from the traditional plain blue link snippets by introducing graphical and interactive elements in their search results, on both desktop and mobile devices. One of these elements is rich snippets and, in this post, you will learn everything you ever need to know about rich snippets.
A knowledge graph is the organization and representation of a knowledge base as a graph, with a network of nodes and links, not as tables of rows and columns. As such, it is generally based on data in a graph database, rather than on a relational database, and graph databases are becoming more popular. A knowledge graph usually includes (but is not limited to) visualizations of data, such as of an output of graph analytics, a display of interconnected nodes and links, or a display of linked data in a “fact box.”