Information vs Knowledge To a machine, knowledge is comprehended information (aka new information produced through the application of deductive reasoning to exiting information). To a machine, information is only data, until it is processed and compr
Machines (or machine-based reasoning, aka 'AI software' or ‘info agents’) would then be able to use those laboriously –but not entirely manually– constructed ontologies to build a view (or formal model) of how the individual terms within the infor
“The Semantic Web is a project that intends to create a universal medium for information exchange by putting documents with computer-processable meaning (semantics) on the World Wide Web.” "Google's very broad take on Web 3.0...enables you to use you
Ontologies play a prominent role on the Semantic Web. They make possible the widespread publication of machine understandable data, opening myriad opportunities for automated information processing. However, because of the Semantic Web's distributed natur
We believe that the enterprise ontology will become a cornerstone in many information systems in the future. In general terms, an ontology is an organization of a body of knowledge or, at least, an organization of a set of terms related to a body of know
This document describes an ontology for publishing descriptions of historical events as Linked Data, and for mapping between other event-related vocabularies and ontologies.
Many biomedical terminologies, classifications, and ontological resources such as the NCI Thesaurus (NCIT), International Classification of Diseases (ICD), Systematized Nomenclature of Medicine (SNOMED), Current Procedural Terminology (CPT), and Gene Ontology (GO) have been developed and used to build a variety of IT applications in biology, biomedicine, and health care settings
Classical knowledge representation methods traditionally work with established relations such as synonymy, hierarchy and unspecified associations. Recent developments like
ontologies and folksonomies show new forms of collaboration, indexing and knowledge representation and encourage the reconsideration of standard knowledge relationships. In a
summarizing overview we show which relations are currently utilized in elaborated knowledge representation methods and which may be inherently hidden in folksonomies and ontologies.