Lesson 19: Contextual and Knowledge Domains
Key Takeaways
- You have to understand how search engines read, process, understand, associate and cluster the search terms and the search queries.
- So that's why I would suggest you to check my SlotShare account.
- Without understanding the queries and the query parsing and processing methodologies it's not possible to create a proper topical map to be honest.
- Here as you see open I actually explain what is query parsing and you can see that it's very easy to understand the terms and the search queries.
- But one of them is actually more explanatory which is David C.
Core Concepts
Main Teaching
Welcome to the 15th lecture. So when you look at all these specific parts for the good SEOs I use these concepts and for the traditional ones you can tell that these are headings, these are heading levels, these are just prompts for the authors and these are the internal links. But if you want to be a proper semantic SEO in the context of 40 sticks you will need to actually understand the definitions of these things in a really good way and anything that you just see here they are all coming from this part. Without understanding the queries and the query parsing and processing methodologies it...
How It Works
You have to understand how search engines read, process, understand, associate and cluster the search terms and the search queries. Then it's very much easier. So that's why I would suggest you to check my SlotShare account. Here as you see open I actually explain what is query parsing and you can see that it's very easy to understand the terms and the search queries.
Why This Matters
So that's why I can check all the designs of the search engines for actually parsing and processing different types of queries and all these designs they are actually directly coming from Google or the Googlers with different types of really important inventors like Tristan Apsell or Vishnu Nachu. But one of them is actually more explanatory which is David C. So the things that here is that all these domains that you just see here they represent different types of knowledge domains. Let's say your website is under the knowledge domain one and you want to go to the knowledge domain six which me...
Implementation Notes
It also means that you will need to touch through these minor knowledge domains and you will need to touch to the knowledge domain seven and the distance between one and the seven it represents the semantic distance and this semantic path will be shaping your topical map. And as you see different types of knowledge domains they are actually united under different types of contextual domains because two different things actually can come closer to each other with certain types of entities, attributes, contexts and different types of let's say purposes. So once you get the knowledge domains then...
Koray's Terminology
| Term | Meaning in Context |
|---|---|
| Topical Map | Content network design based on semantics with core and outer sections, processing a central entity with main and minor attributes |
| Source Context | The purpose of the brand identity and how the brand monetizes its content |
| Contextual Vector | The ordered sequence of headings and content that creates a straight-line flow of context through a document |
| Contextual Domain | The broader context that unites different knowledge domains through entities and attributes |
| Knowledge Domain | A specific area of knowledge (e.g., health, finance) that determines entity relationships |
| Semantic Distance | The measured gap between two concepts in terms of meaning and query association |
Practical Application
- Write precise definitions for your central entity and key attributes
- Create a content brief using Koray's contextual vector methodology
- Audit your internal linking structure against Koray's anchor text principles
- Map out the central entity and source context for your project
- Study the concepts presented in this lesson until they become intuitive
- Review the related case studies mentioned by Koray for real-world application
Connection to Framework
Full Transcript
Welcome to the 15th lecture. So when you look at all these specific parts for the good SEOs I use these concepts and for the traditional ones you can tell that these are headings, these are heading levels, these are just prompts for the authors and these are the internal links. But if you want to be a proper semantic SEO in the context of 40 sticks you will need to actually understand the definitions of these things in a really good way and anything that you just see here they are all coming from this part. Without understanding the queries and the query parsing and processing methodologies it's not possible to create a proper topical map to be honest. You have to understand how search engines read, process, understand, associate and cluster the search terms and the search queries. Then it's very much easier. So that's why I would suggest you to check my SlotShare account. Here as you see open I actually explain what is query parsing and you can see that it's very easy to understand the terms and the search queries. So that's why I can check all the designs of the search engines for actually parsing and processing different types of queries and all these designs they are actually directly coming from Google or the Googlers with different types of really important inventors like Tristan Apsell or Vishnu Nachu. But one of them is actually more explanatory which is David C. Tyler. So the things that here is that all these domains that you just see here they represent different types of knowledge domains. Let's say your website is under the knowledge domain one and you want to go to the knowledge domain six which means that you will need to create a vector as I do. It also means that you will need to touch through these minor knowledge domains and you will need to touch to the knowledge domain seven and the distance between one and the seven it represents the semantic distance and this semantic path will be shaping your topical map. And as you see different types of knowledge domains they are actually united under different types of contextual domains because two different things actually can come closer to each other with certain types of entities, attributes, contexts and different types of let's say purposes. So once you get the knowledge domains then you will need to connect them together with the context. When it comes to the documents here this is actually the book that I will be publishing very soon and in this book I have written it like actually two years ago but basically this book is over actually 35 000 no over 30 000 words and it's actually my average case study length I can tell but this time I wanted to publish it as a book and here we basically explain how search engines generate questions from keywords. So I won't dive into the book because as I say I will keep everything practical but you should get these concepts to understand the search engines first how they actually process queries then how you can generate questions from these queries. In every query actually there is a functional word concrete word user inquiry intent and the model is a model that they use to understand possible search behaviors and relative search behaviors then you will get the subject areas. We give the definitions here then we explain these things and the future sections we actually explain how feature snippets are created how the best answer has been chosen and what kinds of metrics or what kinds of actually scoring methodologies can be used for better let's say better context scoring and etc. But when I go into the following sections we will see that the most important thing is that the most important part is that we have to filter the queries and when it comes to here you should understand that you will need to filter the queries first if you look at here all these queries they always have the specific entity Germany so the rest is just the attribute Germany Lake Germany population Germany minimum wage so at the right side we always have an attribute and we are able to verbalize these queries with certain types of context but which one and how we can filter them and one more time we will actually looking we will need to look at our source context here if you look at our source context with we are actually a visa consultancy company which means that this year the German football league or NBA not NBA sorry basketball league basically is not relevant to our source context at all so which means this specific attribute is not relevant to us so I won't generate any question from this I will just skip it but when it comes to the population is really really important for our context that's why I will use population that's why you see population here and you see the population also here too because I need to increase its overall relevance and the weight in our contextual vector so that we can increase our overall relevance in the next lecture we will talk about attribute criterias and how we can filter the attributes of entities for content brief creation and it will be helpful for you to understand how you can actually clean the queries that you will be focusing on see you in the next lecture