What is Entity SEO?
Entity SEO (Entity-based SEO) is an SEO technique involves understanding search engines with semantic principles to optimize web pages, and sites around certain topics, entities, attributes and associations for higher relevancy and rankings on the search engine result pages. Entity-oriented SEO focuses on entities rather than keywords while explaining, defining, connecting the entities to each other under certain contexts by providing responsive and accurate information. Semantic Search Engines index and rank web pages according to their entities, predicates, and attributes to demonstrate their relevance to each other, and search query by increasing click satisfaction on the SERP. The Entity-oriented Search relies on Sergey Brins and Larry Page's Google Search Engine design. Sergey Brin patented the first entity-oriented search design in 1999 with the title of "Extracting Patterns and Relations from Scattered Databases such as the World Wide Web".
The World Wide Web involves a scattered database with structured and unstructured data. A semantic search engine parses the queries, and evaluate the text of the documents with natural language understanding and processing techniques such as using Neural Networks and Machine Learning algorithms to organize the information on the WEB with a higher accuracy.
What is an Entity?
An entity is a self-dependent and phrase-independent, language agnostic concept that express a meaning rather than a sound. An entity is defined with its attributes, entity type and relations to other entities. SEO Entities are used and stored in Knowledge Databases, Graphs and third party databases such as Data Commons to improve the ranking potential of a web page.
What is the difference between an Entity and a Keyword?
The main difference between a Keyword and an Entity is that a keyword doesn't have a meaning while an entity involves a meaning with a conceptual approach. Keywords are strings, Entities are concepts.
Why is Entity Oriented SEO important for Semantics?
Entity-oriented SEO important for Semantics, because entities are organized, connected and defined with semantic connections, relevance and distance along with similarity. Semantic connections between entities reflect the connection direction, and association type between entities.
00:40 Introduction to Entity-based SEO Case Study
01:45 Success of Entity-based SEO for Semantic SEO
03:00 Broad Core Algorithm Updates' Analysis for Entity SEO
03:50 Entity-based SEO and Brand Authority
05:00 Entity-oriented Search Book by Krisztian Balog
06:30 Technical SEO and Entity-based SEO
7:50 Entity-based SEO Practices and Methods
10:12 Expanding a Topical Map with Contextual Bridges
10:57 Comparing Anchor Texts for Entity-Attribute Pairs
11:59 Identifying Subjective Attributes of Entities for SEO
11:30 Patterns of Semantic Web with Query-Document-Intent Templates
14:00 Importance of Contextual Vector and Entity Types
16:30 Subscribing Entity SEO Newsletter
16:45 Query Semantics and Word Distributions for Entity Questions
18:40 Query Themes, Aspects, Definitions, and Query Processing for Entity-based SEO
21:30 Gaining New Organic Queries with Entity-based SEO
23:30 How to Define Entities within a Context for SEO?
25:30 Entity-Seeking Questions and Query-Entity Associations with Taxonomy and Ontology
26:00 Example of Entity Oriented SEO
27:00 Entity-based SEO Results
28:00 Broad Core Algorithm Updates and Entity-oriented SEO
29:30 Information Quality and Responsiveness for Entity SEO
30:32 Ranking Factoids with Uncertain Inference for Entities
31:40 Information Literacy and Cues
33:00 SERP Diversification and Corroboration of Web Answers from Multiple Web Sources for Entity Questions
35:00 Information Extraction Example for Entity SEO
36:12 Broad Core Algorithm Update Analysis for Entity SEO
37:00 Topical Consolidation for Entity-oriented Search Results
42:00 Broad Index Refresh and Source Prioritization for Entity SEO
43:24 How to Close the Semantic Distance between Entities for SEO Performance?
44:00 Positive and Negative Ranking State for Web Sources
47:00 Choosing the Most Important Entity Attributes for Better Rankings
48:29 Entity Ranking on Wikipedia
49:02 Entity Display Priority in a Distributed Geographic System
49:52 Unnamed Entity Recognition of Sense Mentions
50:22 Selecting Content Using Entity Properties
51:20 Entity-Query Association for Entity Indexing
51:53 Question Answering Using Entity References in Unstructured Data
52:33 Ranking Search Results based on Entity Metrics
53:18 Context-based Natural Language Processing in Entity SEO
53:42 Aggregating Entity Concurrence for Content Selection
54:36 Entity-based Searching With Content Selection
55:06 Assigning Terms of Interest to An Entity
55:26 Related Entities
55:46 Associating Images with Semantic Entities
56:26 Salient Semantic Relation Paths Between Two Words
57:16 Summary of Entity-based SEO Guide and Case Study
#entityseo #semanticseo
