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Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. [2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated ...
Semantics. A central topic in semantics concerns the relation between language, world, and mental concepts. Semantics is the study of linguistic meaning. It examines what meaning is, how words get their meaning, and how the meaning of a complex expression depends on its parts. Part of this process involves the distinction between sense and ...
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Semantic analytics, also termed semantic relatedness, is the use of ontologies to analyze content in web resources. This field of research combines text analytics and Semantic Web technologies like RDF. Semantic analytics measures the relatedness of different ontological concepts. Some academic research groups that have active project in this ...
ResearchGate. ResearchGate is a European commercial social networking site for scientists and researchers [2] to share papers, ask and answer questions, and find collaborators. [3] According to a 2014 study by Nature and a 2016 article in Times Higher Education, it is the largest academic social network in terms of active users, [4] [5 ...
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.
Semantic AI, Inc. Semantic AI (formerly Semantic Research, Inc.) is a privately held software company headquartered in San Diego, California with offices in the National Capitol Region. Semantic AI is a Delaware C-corporation that offers patented, graph-based knowledge discovery, analysis and visualization software technology.
Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Some authors regard semantic search as a set of techniques for retrieving knowledge from richly ...
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