The ultimate goal of semantic technology is to help machines understand data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource Description Framework)[1] and OWL (Web Ontology Language).[2] These technologies formally represent the meaning involved in information. For example, ontology can describe concepts, relationships between things, and categories of things. These embedded semantics with the data offer significant advantages such as reasoning over data and dealing with heterogeneous data sources.
goal of semantictechnology is to help machines understand data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource...
A semantic data model (SDM) is a high-level semantics-based database description and structuring formalism (database model) for databases. This database...
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...
Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was...
Intelligence and provider of Semantic Graph Databases and Analytics. He is a frequent speaker within the Database and SemanticTechnology industries and has authored...
SemanticTechnology Institute (STI) International is an association of global experts in semantics and services, located in Austria. It has members mostly...
College, Philippine IT network SemanticTechnology Institute International, research network for semantictechnology Sega Technical Institute, defunct...
in semantic search technologies. IEEE. pp. 403–408. Retrieved 1 May 2009. Ruotsalo, T. (May 2012). "Domain Specific Data Retrieval on the Semantic Web"...
Semantic matching is a technique used in computer science to identify information which is semantically related. Given any two graph-like structures,...
searches, known as the 'Explore pane'. These features leveraged semantictechnology from Powerset, a company Microsoft acquired in 2008. Microsoft also...
is less overlap in the semantic features and the psychological process is significantly slower. Semantictechnology – Technology to help machines understand...
Semantic interoperability is the ability of computer systems to exchange data with unambiguous, shared meaning. Semantic interoperability is a requirement...
Semantic publishing on the Web, or semantic web publishing, refers to publishing information on the web as documents accompanied by semantic markup. Semantic...
USA. It is the semantictechnology branch of Sirma Group. Its main domain of activity is the development of software based on the Semantic Web languages...
Semantic integration – Interrelating info from diverse sources Semantictechnology – Technology to help machines understand data Topic map – Knowledge organization...
NTENT is a semantic search and natural language understanding technology company based in New York City. It was founded in 2010 as a result of a merger...
blog. Ryan Stillions. Bromander, Siri (2016). "Semantic Cyberthreat Modelling" (PDF). SemanticTechnology for Intelligence, Defence and Security (STIDS...
intelligence is the management of unstructured information, leveraging semantictechnology. These applications tackle R&D, sales, marketing and security for...
of Technology). Currently James Hong Kong is the lead developer as of 2017[update], while the other core developer is Jeroen De Dauw. Every semantic annotation...
A semantic wiki is a wiki that has an underlying model of the knowledge described in its pages. Regular, or syntactic, wikis have structured text and untyped...
Knowledge Acquisition". Archived 25 May 2012 at the Wayback Machine SemanticTechnology Institute International. pgs 14-17. Walker, John (10 June 2010)....
The Semantic Web Stack, also known as Semantic Web Cake or Semantic Web Layer Cake, illustrates the architecture of the Semantic Web. The Semantic Web...
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...
for Bootstrapping a Linguistic Data Cloud" (PDF). Proc. Joint Int. SemanticTechnology Conference (JIST). Nara, Japan. Hellmann, S.; Auer, S. (2013). "Towards...
component of a semantic broker and one tool that is enabled by the Semantic Web technologies. Essentially the problems arising in semantic mapping are the...
a big part in the vision for the future Semantic Web. The automatic classification gives developers technology to provide order on a constantly evolving...
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between...