Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.

To get started, visit semanticscholar.org and enter a search for a paper, author, topic, or keyword. You can further refine your search results using our many filter options. Select field of study to find …

A brief survey on existing semantic search engine (SSE) is made with the focus to reveal the predominant and prevalent features used in the interface design and highlighted some of the …

Mar 5, 2025 · This paper focuses on the most widely used technologies in the Web, and presents the stages of the development of the World Wide Web, and explains the technologies and tools of the …

A brief survey on various promising features of some of the best semantic search engines developed so far and the various approaches to semantic search are discussed.

This paper proposes enhanced search engines to be semantic nested search which can be used in business domain via integrating Ontology, Multi-agent technology, and human computer interaction …

Mar 20, 2024 · A semantic search engine for mathlib4 that accepts informal queries and finds the relevant theorems is presented and a benchmark for assessing the performance of various search …

What is the advantage of using Semantic Scholar instead of other academic search engines? Does Semantic Scholar offer programmatic access to its data through an API or downloadable dataset?

In this paper we propose a conceptual architecture for a semantic search engine. We have discussed the components required by the engine, the requirements of these components, and their interaction …

This paper summarizes semantic web, traditional and semantic search engine concepts and infrastructure, type of applications and the areas worked for, and differences from traditional …