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How do I create a knowledge graph from a PDF?
It all starts with a triple. A simple phrase, comprised of a subject-predicate-object. Take this simple phrase. “I am Gennaro” Then take another phrase “Gennaro knows Adam D’Angelo” (I’ve never met him but you get the idea). And yet another one “Gennaro works at WordLift.” Now imagine we’re building a knowledge graph about me. We start from “Gennaro” and that is what we get. In a knowledge graph, the objects are called “nodes,” while relationships are called “edges.” Therefore “Gennaro” is a node. While “knows” (or “works at”) - represented by a arrow - is an edge. “Adam D’Angelo” and “WordLift” are other nodes. Edges (or the arrows) connect one node to the other. From connecting several nodes that is how a knowledge graph springs up. Why is that important at all? Part of Google’s search algorithm is devoted in building up a massive knowledge graph of the web. Why? Because it helps Google to better understand web pages. It also helps Google give better answer to users’ questions. Can you build a knowledge graph? Yes, you can! In fact, today building a knowledge graph by starting from your web content might be the most effective way to allow Google to understand your web pages. How can you build a knowledge graph? Content needs to be converted in data that a search engine can process. You can do that in two ways. Schema markup Open Linked Data Schema.org is a vocabulary created by commercial search engines (like Google) to allow to define what web pages are about. Almost like you’re defining the content you have on a web page in a way that Google can understand that, you can use Schema as a vocabulary that bridges the gap between human language and machine language. By defining objects on your web pages with Schema and connecting them as open linked data that is almost like you help Google’s search algorithm to include that content in its knowledge vault - the massive knowledge graph Google is building. With tools like WordLift anyone with a WordPress website can build up knowledge graphs by starting from their web content!
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So, how does that work? The simple part of using a knowledge graph is actually quite complex. As stated by the creators of the knowledge graph, you can find more about the technical details here. The only key aspect for most people is to create a set of nodes. With Forklift, a blog post on some other site would create a node that is connected to a tag created on Forklift with a few details like author, tag, etc. So that in case of a post on another site a follower (a follower on a forklift) will automatically subscribe to that forklift post. To sum up, a knowledge graph for Forklift is built just on the basic structure of a Node. As you see, you only need to create nodes in frontend code if they have a special annotation like a “tag”. In that sense, for instance posts on.