Semantic Search

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May 1, 2024 Updated July 18, 2025 10 minute read

Semantic Search is a technique used to improve the accuracy of search results by understanding the intent and context of a user's query. Unlike traditional search engines that rely on simple keyword matching, semantic search uses artificial intelligence and natural language processing algorithms to analyze the content of a web page and determine its relevancy to a user's search query.

What are the benefits of using Semantic Search?

There are several benefits of using semantic search, including:

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Search Engines

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Provides a vision of the future of semantic search. It is written by Bruce Croft, a leading researcher in the field.

Knowledge Graphs

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Provides an overview of natural language processing for the semantic web. It is written by a leading researcher in the field.

Linked Data

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Provides a guide to linked data, which way of publishing data on the web in a way that makes it easier for computers to understand and process. It is written by two leading researchers in the field.

Industrial Applications of Machine Learning

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Covers the machine learning techniques used in semantic search. It is written by two leading researchers in the field.

Foundations of Semantic Web Technologies

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Provides an overview of semantic web technologies. It is written by three leading researchers in the field.

A Semantic Web Primer

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Provides an overview of the semantic web for computer scientists. It is written by two leading researchers in the field.

A Framework for Web Science

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Provides an overview of the semantic web, which vision of the future of the world wide web in which data is structured in a way that makes it easier for computers to understand and process. It is written by Tim Berners-Lee, the inventor of the world wide web.

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Semantic Search

What are the benefits of using Semantic Search?

Path to Semantic Search

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