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Semantic Scholar. 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 ...
CSV, CERIF XML, MS Word, Excel, PDF (APA6), ATOM/XML web services, EndNote/Reference Manager, BibTex, RDF (Linked Data), various government assessment submission formats UNIWeb Users can enter their CV or bibliographic data manually, or import from the Canadian Common CV, PubMed, Google Scholar, Scopus, Web of Science, Bibtek, Endnote. Unknown
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.
v. t. e. In information science, an ontology encompasses a representation, formal naming, and definitions of the categories, properties, and relations between the concepts, data, or entities that pertain to one, many, or all domains of discourse. More simply, an ontology is a way of showing the properties of a subject area and how they are ...
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 ...
This is a list of file signatures, data used to identify or verify the content of a file.Such signatures are also known as magic numbers or Magic Bytes.; Many file formats are not intended to be read as text.
The Semantic Web, sometimes known as Web 3.0 (not to be confused with Web3 ), is an extension of the World Wide Web through standards [1] set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable. To enable the encoding of semantics with the data, technologies such as Resource Description ...
In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph -structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the free-form semantics ...