The Semantic Web has the ultimate goal of making a machine understand Internet data. To enable the encoding of semantics with the data, well-known technologies are used such as RDF and OWL. 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 offer significant advantages such as reasoning over data and dealing with heterogeneous data sources.
In logic and mathematics, statements and are said to be logically equivalent, if they are provable from each other under a set of axioms, or have the same truth value in every model. The logical equivalence of and is sometimes expressed as , , or , depending on the notation being used. However, these symbols are also used for material equivalence, so proper interpretation would depend on the context. Logical equivalence is different from material equivalence, although the two concepts are intrinsically related.
Syntax highlighting is a feature of text editors that are used for programming, scripting, or markup languages, such as HTML. The feature displays text, especially source code, in different colors and fonts according to the category of terms. This feature facilitates writing in a structured language such as a programming language or a markup language as both structures and syntax errors are visually distinct. Highlighting does not affect the meaning of the text itself; it is intended only for human readers.
Equivalence or Equivalent may refer to:
Logic in computer science covers the overlap between the field of logic and that of computer science. The topic can essentially be divided into three main areas:
Web Services Discovery provides access to software systems over the Internet using standard protocols. In the most basic scenario there is a Web Service Provider that publishes a service and a Web Service Consumer that uses this service. Web Service Discovery is the process of finding suitable web services for a given task.
In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks, including:
The semantic spectrum is a series of increasingly precise or rather semantically expressive definitions for data elements in knowledge representations, especially for machine use.
In metadata, a match report is a report that compares two distinct data dictionaries and creates a list of the data elements that have been identified as semantically equivalent.
Semantic translation is the process of using semantic information to aid in the translation of data in one representation or data model to another representation or data model. Semantic translation takes advantage of semantics that associate meaning with individual data elements in one dictionary to create an equivalent meaning in a second system.
In metadata, a vocabulary-based transformation (VBT) is a transformation aided by the use of a semantic equivalence statements within a controlled vocabulary.
In computer metadata, semantic equivalence is a declaration that two data elements from different vocabularies contain data that has similar meaning. There are three types of semantic equivalence statements:
In metadata a synonym ring or synset, is a group of data elements that are considered semantically equivalent for the purposes of information retrieval. These data elements are frequently found in different metadata registries. Although a group of terms can be considered equivalent, metadata registries store the synonyms at a central location called the preferred data element.
A semantic mapper is tool or service that aids in the transformation of data elements from one namespace into another namespace. A semantic mapper is an essential component of a semantic broker and one tool that is enabled by the Semantic Web technologies.
Ontology alignment, or ontology matching, is the process of determining correspondences between concepts in ontologies. A set of correspondences is also called an alignment. The phrase takes on a slightly different meaning, in computer science, cognitive science or philosophy.
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 facts or axioms. The notion of a semantic reasoner generalizes that of an inference engine, by providing a richer set of mechanisms to work with. The inference rules are commonly specified by means of an ontology language, and often a description logic language. Many reasoners use first-order predicate logic to perform reasoning; inference commonly proceeds by forward chaining and backward chaining. There are also examples of probabilistic reasoners, including Pei Wang's non-axiomatic reasoning system, and probabilistic logic networks.
Twine was an online, social web service for information storage, authoring and discovery, located at twine.com, that existed from 2007 to 2010. It was created and run by Radar Networks. The service was announced on October 19, 2007 and made open to the public on October 21, 2008. On March 11, 2010, Radar Networks was acquired by Evri Inc. along with Twine.com. On May 14, 2010, twine.com was shut down, becoming a redirect to evri.com.
Minimal mappings are the result of an advanced technique of semantic matching, a technique used in computer science to identify information which is semantically related.
Semantic matching is a technique used in computer science to identify information which is semantically related.
The ontoprise GmbH was a provider of Semantic Web infrastructure technologies and products used to support dynamic semantic information integration and information management processes at the enterprise level. Its primary place of business was located at Karlsruhe, Germany.
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