Glossary and usage

TermHow to write itinitial capabbrvNote
Knowledge graphKnowledge graphnKGplural is graphs not graph’s [read more]
Application Programming InterfaceAPIyAPIIn general terms, it is a set of clearly defined methods of communication between various software components. A good API makes it easier to develop a computer program by providing all the building blocks, which are then put together by the programmer. Always abreviated. [read more]
ContextionaryContextionaryyn/aA contextionary consists of word embeddings in a feature space and a list of nouns and verbs. It is used to determine the context of certain words.
Decentralized Networkdecentralized networknn/aDecentralized [networking] is the allocation of resources, both hardware and software, to each individual workstation, or office location. In contrast, centralized computing exists when the majority of functions are carried out, or obtained from a remote centralized location. Decentralized computing is a trend in modern-day business environments. This is the opposite of centralized computing, which was prevalent during the early days of computers.[read more]
Knowledge Networkknowledge networknn/aA knowledge network is the multi-peer equivalent of a knowledge graph.
Metadata   Metadata means “data about data”. Although the “meta” prefix means “after” or “beyond”, it is used to mean “about” in epistemology. Metadata is defined as the data providing information about one or more aspects of the data; it is used to summarize basic information about data which can make tracking and working with specific data easier [read more]
Natural-language processing   Natural-language processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to fruitfully process large amounts of natural language data.
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SeMISeMIyn/aSemantic Machine Insights.
Semantic segmentationsemantic segmentationnN/ATechnical term for machine photographic interpretation. Using AI to analyze an image (usually a photograph) and, if combined with training by humans, recognize elements in that image like buildings, people, bridges, airplanes, fields etc.