The Semantic Web (Web 3.0) as a logical consequence of Web 2.0
Posted: Thu Jan 30, 2025 6:43 am
The development towards the semantic web is changing the prioritization and delivery of information by the most important gatekeepers on the web and thus also online marketing . The following is an explanation.
Table of contents [ Hide ]
1 Web 3.0 as a logical consequence of Web 2.0
2 Google and semantic search
2.1 Search query-related context
2.2 User context
3 Facebook & Co. and the Semantics
4 The Impact of the Semantic Web on Online Marketing
Web 3.0 as a logical consequence of Web 2.0
Web 2.0 and the associated technical possibilities have made it possible for virtually anyone to publish content online via their own websites, blogs and social media profiles. This inevitably led to the Internet being flooded with information and data, as the following infographic impressively demonstrates.
What-happen-in-the-internet-per-minute-300dpi-e1436188320789
That is why it is all the more important that data and information can be identified, categorized, evaluated and sorted or organized depending on the context. This is the only way to cope with the flood of data. And here, Web 3.0, with its basic semantic structure, is the logical consequence of Web 2.0. We are currently in a kind of transition phase to Web 3.0. You could also call it Web 2.5. The big gatekeepers Google and Facebook are already using semantic functionalities.
Google and semantic search
Google relies on the Knowledge Graph and the Hummingbird update introduced in 2013, which ushered in semantic search . The Knowledge Graph serves as the heart of semantic search and feeds the search panama phone number data algorithm with information for delivering search results. This allows Google to clearly identify search queries in terms of meaning and context.
When it comes to context, a distinction must be made between search query-related context, user context and temporal context. Both forms of context are dynamic and can change over time.
search query-related context
Relationship to other concepts and topics or entities
Related searches
search term sequences
search intent behind the search query
Temporal context / timeliness or how important is the timeliness of the information to be provided
user context
Location from which the search is performed
level of knowledge or research of the user
Connecting to other people on Google+ (only when logged in)
The so-called Knowledge Graph boxes are just the tip of the iceberg or the front end that you see of a fraction of the information. Furthermore, Google will most likely collect new relationship information about users, entities, terms, etc. in this knowledge database second by second in order to gain an even better overview of who is related to what and how.
Table of contents [ Hide ]
1 Web 3.0 as a logical consequence of Web 2.0
2 Google and semantic search
2.1 Search query-related context
2.2 User context
3 Facebook & Co. and the Semantics
4 The Impact of the Semantic Web on Online Marketing
Web 3.0 as a logical consequence of Web 2.0
Web 2.0 and the associated technical possibilities have made it possible for virtually anyone to publish content online via their own websites, blogs and social media profiles. This inevitably led to the Internet being flooded with information and data, as the following infographic impressively demonstrates.
What-happen-in-the-internet-per-minute-300dpi-e1436188320789
That is why it is all the more important that data and information can be identified, categorized, evaluated and sorted or organized depending on the context. This is the only way to cope with the flood of data. And here, Web 3.0, with its basic semantic structure, is the logical consequence of Web 2.0. We are currently in a kind of transition phase to Web 3.0. You could also call it Web 2.5. The big gatekeepers Google and Facebook are already using semantic functionalities.
Google and semantic search
Google relies on the Knowledge Graph and the Hummingbird update introduced in 2013, which ushered in semantic search . The Knowledge Graph serves as the heart of semantic search and feeds the search panama phone number data algorithm with information for delivering search results. This allows Google to clearly identify search queries in terms of meaning and context.
When it comes to context, a distinction must be made between search query-related context, user context and temporal context. Both forms of context are dynamic and can change over time.
search query-related context
Relationship to other concepts and topics or entities
Related searches
search term sequences
search intent behind the search query
Temporal context / timeliness or how important is the timeliness of the information to be provided
user context
Location from which the search is performed
level of knowledge or research of the user
Connecting to other people on Google+ (only when logged in)
The so-called Knowledge Graph boxes are just the tip of the iceberg or the front end that you see of a fraction of the information. Furthermore, Google will most likely collect new relationship information about users, entities, terms, etc. in this knowledge database second by second in order to gain an even better overview of who is related to what and how.