Search results
Results from the WOW.Com Content Network
For example, F/C=C/F (see depiction) is one representation of trans-1,2-difluoroethylene, in which the fluorine atoms are on opposite sides of the double bond (as shown in the figure), whereas F/C=C\F (see depiction) is one possible representation of cis-1,2-difluoroethylene, in which the fluorines are on the same side of the double bond.
You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses ...
The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies.Ontologies are a formal way to describe taxonomies and classification networks, essentially defining the structure of knowledge for various domains: the nouns representing classes of objects and the verbs representing relations between the objects.
Individuals (instances) are the basic, "ground level" components of an ontology. The individuals in an ontology may include concrete objects such as people, animals, tables, automobiles, molecules, and planets, as well as abstract individuals such as numbers and words (although there are differences of opinion as to whether numbers and words are classes or individuals).
A survey of ontology visualization methods is presented by Katifori et al. [26] An updated survey of ontology visualization methods and tools was published by Dudás et al. [27] The most established ontology visualization methods, namely indented tree and graph visualization are evaluated by Fu et al. [28] A visual language for ontologies ...
Gellish is an example of a combined ontology language and ontology that is description logic based. It distinguishes between the semantic differences among others of: relation types for relations between concepts (classes)
Basic Formal Ontology (BFO) is a top-level ontology developed by Barry Smith and his associates for the purposes of promoting interoperability among domain ontologies built in its terms through a process of downward population. A guide to building BFO-conformant domain ontologies was published by MIT Press in 2015.
For example, the ‘employee’ is the role name of a person while in employment. No ontology chart node has more than two ontological antecedents. Where you find an arc on the ontology chart between a role name and a node, read that as an arc between the right hand side of the role name.