A semantic search is a process a wide variety of information is given to provide the desired search result. The term semantic search is derived from the semantic web which was built on ontologies, a framework for facts and information. Semantic web uses interplay of sets, properties and relations which occupy the vast amount of data on the web.
Semantics a programming language follows a process and complies with the command. Meta tags is a feature of semantics. Anything regarding a website part can be considered a semantic domain. Semantic search depends on the semantic markup of websites, which uses a vast amount of information which you can use.
How long has semantic search been around?
A theory paper by R.Guha et al., of IBM, Stanford suggests that the theory goes back to the year 2003. This process took a while to practice, which was called the hummingbird algorithm, which was fast and precise. Hummingbird is paying more attention when it comes to taking into account the query and the goal is to match the pages to retrieve better information than just matching a few words.
The factors that the search engine uses to perform the search
Google uses more than 200 ranking factors and user behavior affects SEO. Semantic search takes search queries nad using many factors to ensure the best result. Machine learning has brought in advancements in search engine capabilities which function independently where they continuously refine and learn how to get more relevant searches.
Is semantic search better?
Yes, semantic search generates more accurate answers as search engines are not just trying to get results based on keywords but taking into consideration the semantic factors of the page. Every byte of data is rolled into the index and later the best answer is presented during the semantic search. A semantic search is not just a collection of website for your keywords but is to get the best websites for your specific situation.
Advantages of semantic search
Semantic search takes into consideration the user data and the intent; this is the most important thing that makes the semantic search so successful. The most relevant pages are collected and is aligned with the users intent and based on aggregate data, Googles machine learning algorithm trains itself to interpret what is really needed and produces relevant results.
- Worry less about writing the exact keywords.
- Make sure that the content produced has a clear focus
- Create high-quality content
- Understand the intent
- Using structured data markup
- Focus on long-tail keywords
The main focus of the semantic search is to give you the best possible experience while using search engines. The better your user experience, the better your website will do, especially when it comes to SEO.