resources. This field of research combines text analytics and Semantic Web technologies like RDF. Semantic analytics measures the relatedness of different ontological...

analytics Predictive engineering analytics Prescriptive analytics Semantic analytics Smart grid Social analytics Software analytics Speech analytics Statistics...

Semantic queries allow for queries and analytics of associative and contextual nature. Semantic queries enable the retrieval of both explicitly and implicitly...

A semantic network, or frame network is a knowledge base that represents semantic relations between concepts in a network. This is often used as a form...

(computational) Semantic analysis (machine learning) Semantic Analysis (book), 1960, by Paul Ziff, on aesthetics/philosophy of language Semantic analytics of organisations...

In proof theory, the semantic tableau (/tæˈbloʊ, ˈtæbloʊ/; plural: tableaux), also called an analytic tableau, truth tree, or simply tree, is a decision...

dealing with texts in various languages. IDN (Internationalized Domain Name) Semantic Web Punycode XRI (Extensible Resource Identifier) Gangemi, Aldo; Presutti...

performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics. BI tools can handle large amounts of structured and sometimes...

the Internet, nor need they imply network-based resources at all. The Semantic Web uses the HTTP URI scheme to identify both documents and concepts for...

Computational semantics Natural language processing Semantic analytics Semantic analysis (machine learning) Semantic Web SemEval Sergei Nirenburg; H. L. Somers;...

into meaning components called semantic features. The word horse has the semantic feature animate but lacks the semantic feature human. It may not always...

continuous with science, but instead of logical positivism advocated a kind of semantic holism and ontological relativity, which explained that every term in any...

A semantic reasoner, reasoning engine, rules engine, or simply a reasoner, is a piece of software able to infer logical consequences from a set of asserted...

The analytic–synthetic distinction is a semantic distinction used primarily in philosophy to distinguish between propositions (in particular, statements...

together: syntactic and semantic trees. Syntactic trees draw upon the words of a sentence with the grammar of the sentence in mind; semantic trees focus upon...

Intelligence and provider of Semantic Graph Databases and Analytics. He is a frequent speaker within the Database and Semantic Technology industries and...

Semantic AI (formerly Semantic Research, Inc.) is a privately held software company headquartered in San Diego, California with offices in the National...

elements from natural language processing and machine learning such as latent semantic analysis, support vector machines, "bag of words" among other techniques...

prediction competition has been setup at CodaLab. Text analytics Semantic analytics Semantic role labeling Information extraction Business Intelligence...

support effective implementation. Explicit semantic analysis – Latent semantic analysis – Semantic analytics – Sentence breaking (also known as sentence...

conceptual role semantics, functional role semantics, procedural semantics, semantic inferentialism) is an approach to the theory of meaning that identifies...

media analytics, purpose built tools such as Hootsuite, Sprout Social, Later, and Buffer have been created to help companies consolidate analytics into...

focuses on how analytical reasoning can be facilitated by interactive visual interfaces. Visual analytics is "the science of analytical reasoning facilitated...

research and government intelligence. The term text analytics also describes that application of text analytics to respond to business problems, whether independently...

structural, and semantic metadata; recently, he has pioneered ontology-driven approaches to metadata extraction and semantic analytics. He was among the...

linguistics Information retrieval Latent semantic analysis Latent semantic indexing Semantic analytics Semantic similarity Statistical natural language...

Semantic parsing is the task of converting a natural language utterance to a logical form: a machine-understandable representation of its meaning. Semantic...

In logic, the logical form of a statement is a precisely specified semantic version of that statement in a formal system. Informally, the logical form...

meaning and must be replaced by verifiability. Semantic anti-realism is sometimes related to semantic inferentialism. Dummett was politically active,...

widely-used analytics model. In 2015, IBM released a new methodology called Analytics Solutions Unified Method for Data Mining/Predictive Analytics (also known...