Tags (54)

Collection of all tags

Application Programming Interface (API) (2 )

An Application Programming Interface (API) is a special set of commands provided by an information system such as a Content Management System or Taxonomy Management System. These commands or methods allow a remote application to connect to that server via simple commands that the application can send to the server and get back useful information.

Assistive tagging (5 )

A classification technique that uses a computer program to suggest concepts that match a piece of content, and allows a human subject matter expert to approve or decline the suggestions. Generally far more effective than auto-tagging.

Auto-tagging (1 )

A process by which content is automatically classified using AI software. In practice auto-tagging is rarely effective.

Card sorting (1 )

A technique that allows a team to collaboratively build an information structure (like a navigation scheme) or a taxonomy using a collection of written concepts on index cards.

Classification (3 )

The process of linking a piece of information, such as an article stored in a content management system, with one or more concepts stored in a vocabulary or taxonomy.

Classification event (0 )

A classification event occurs when a content item is linked to a taxonomy concept. The event is captured as a semantic triple.

Concept (1 )

Concepts are the classification units within a vocabulary. SKOS Concepts in a controlled vocabulary sit in a master container called a concept scheme. SKOS Concepts can exist in a hierarchy – from your concept scheme, to your top concepts to your narrower concepts and onwards.

Concept scheme (1 )

A SKOS concept scheme is a container for grouping concepts based on common characteristics. The ConceptScheme class is defined in the SKOS ontology.

Content architecture (4 )

Content architecture is the structure that is used to define how granular pieces of content can be assembled together into larger content entities.

Content graph (7 )

A special case of a knowledge graph, developed by Tellura. A content graph is a collection of content objects that are defined within an information model or content ontology and semantically linked to taxonomy concepts.

Content Graph Explorer (CGE) (1 )

The Content Graph Explorer (CGE) is a product of Tellura Semantics. It demonstrates how to use a middleware component to link different semantic components like a content management system, a taxonomy management system and a triple store.

Content management (1 )

A computer system responsible for handling the creation and management of text-based content, and usually also for publishing that content onto a website.

Content Management System (5 )

A computer system responsible for handling the creation and management of text-based content, and usually also for publishing that content onto a website.

Content object (2 )

A content object is a piece of information, such as a chapter in a book, that is identified by a Uniform Resource Identifier and enriched by object properties (such as an information type or links to a person object representing its author) and data properties (such as language translations or descriptions)

Controlled vocabulary (0 )

The phrase controlled vocabulary is often used to denote that the concepts are managed in some way and that it is only possible to choose from amongst these concepts. A controlled vocabulary is a list of terms that are related to each other in some way: they should all be about the same thing. They are often also referred to as authority files as they represent an authoritative set of descriptions for a list of terms. The control aspect refers both to the fact that the terms available are specific and limited (for example, a folksonomy is not a controlled vocabulary, because it is not constrained to a particular set of terms) and also to the fact that such vocabularies have a set of house rules and management processes governing them.

DBpedia (0 )

The DBpedia project is a global community effort to extract structured information from Wikipedia and to make this information accessible on the Web as machine-readable RDF data.

Dereferenced (0 )

The word dereferenced, or dereferenceable, is used to describe a Uniform Resource Identifier (URI) that can be followed to find useful descriptive information. It is highly recommended to make URIs dereferenced so that a user can click on one without ending up in a cyber black hole.

Digital Asset Management (0 )

Digital Asset Management (DAM) refers to the management of rich digital assets such as images, sound or movie files.

General Data Protection Regulations (0 )

The General Data Protection Regulations (GDPR) is a set of EU-driven regulations intended to improve personal privacy and protection of personal information held by businesses.

Google Knowledge Graph (0 )

An early effort on the part of Google to improve the semantic value of data accessed through the Google search engine service.

Governance (2 )

Good information governance ensures that quality levels are met, the information stored is consistent, information standards are complied with, and institutional memory is maintained. Tellura Semantics offers taxonomy governance programmes to help businesses improve their information management.

Graph database (2 )

A graph database is a repository for storing RDF data. It is completely different from a relational database since it does not store data in tables, rows and columns, but instead in structured entitites called triples, each of which describes a relationship between two information objects.

Java (0 )

A programming language? A country? A type of coffee? Without a context or a structured taxonomy, how would we know?

JavaScript Object Notation (1 )

JavaScript Object Notation (JSON) is a common data format for exchanging rich data between applications. It is based on JavaScript, hence the name, though it is not actually JavaScript.

Knowledge Graph (3 )

Knowledge Graph is an umbrella term for information that has been in the form of a graph. A graph is a network of information objects that are linked in meaningful (semantic) ways.

Metadata (1 )

Metadata essentially means data about data. It is information about a piece of content that is not part of the content itself but rather kept alongside and associated with the content. Other structural metadata might include product information, data analytics and tagging analytics.

N-triples (0 )

N-Triples is a format for storing RDF graph data, and a subset of the Turtle (Terse RDF Triple Language) format. It is the closest in appearance to plain English and hence is the most human-readable RDF format.

Ontology (3 )

An ontology is an information model. Think of it as a template or design for a type of information. An ontology may also contain specific instances of information that conform to the design, but it doesn't have to.

PHP (0 )

PHP is an abbreviation for PHP Hypertext Processor. It is an easy to learn but powerful programming language widely used on the World-wide Web.

Proof of concept (0 )

A short project designed to understand whether a technology idea can bring business benefit.

Resource Description Framework (1 )

The Resource Description Framework (RDF) is essentially a method and framework for describing metadata (information). It is a simple language for expressing data models, which are referred to as objects (web resources) and their relationships. It provides interoperability and communication between applications that exchange machine-understandable information on the Web. RDF is a fundamental standard of the Semantic Web.

Semantic Web (1 )

An extension to the World-wide Web that includes meaningful and multi-dimensional relationships between things.

SHACL (1 )

Shapes Constraint Language. Obscure and unhelpful acronym for what is really just a validation language for RDF graphs.

Simple Knowledge Organisation System (4 )

SKOS is an abbreviation for Simple Knowledge Organisation System. It is an RDF-based ontology for managing taxonomy-related information. As an RDF application, SKOS data can be displayed in xml, N-triples or other rdf-type visual formats. The SKOS ontology describes three classes; Concept (the basic information unit), Concept Scheme (which is used to aggregate Concepts) and Collection (which provides a way to pull together sets of concepts as an supplement to a Concept Scheme. For more information, look for the W3C SKOS Primer on the web.

Siren Song (0 )

An apparently enticing idea, but one that is often misleading and hazardous.

Snake oil (1 )

Something sold as a universal remedy that has no real medicinal (or other) value. See also Artificial intelligence.

Software development (9 )

The process of creating new computer programs using code written in a variety of programming languages

SPARQL (0 )

A query language designed for exploring semantic triples data or graph data in general. SPARQL is a recursive acronym for SPARQL Protocol and RDF Query Language.

SPARQL endpoint (1 )

A location on the web that can act as the destination for a SPARQL query. Within PoolParty, every project has a SPARQL endpoint, allowing a programmatic approach to querying the data.

SPARQL query (2 )

A query designed to retrieve triples data from a data source such as a graph database.

STAR programme (0 )

A package of consultancy, training and proof of concept delivery services created by Tellura Semantics to help organisations to rapidly improve their Semantic Web technology capabilities.

Tag (2 )

A tag is a non-hierarchical keyword or term assigned to a piece of information or content. Tagging is an informal way of describing classification.

Taxonomy (10 )

The word taxonomy has two slightly different meanings. Taxonomy is the science of classification, and is always used as a singular word. Taxonomy can also be the description of a specific hierarchical collection of terms or concepts. In this form taxonomy is used for one such collection, whereas taxonomies refers to multiple taxonomy collections. Some concrete examples might be useful. A collection of teaching subjects might be described as a Subject taxonomy. If there is also a Country taxonomy and a Language taxonomy, in a collection such as a PoolParty instance, then this is a set of taxonomies.

Taxonomy Management System (4 )

A taxonomy management system (TMS) is a computer system used for the creation and management of controlled vocabularies (including taxonomies and thesauri). Modern systems such as PoolParty are also capable of ontology management and have strong linked data capabilities.

Thesaurus (0 )

A thesaurus is a type of vocabulary in which concepts are related to each other as either exact matches or related alternatives. A thesaurus (in information terms) is a variation on a vocabulary, designed to reflect areas where additional complexity is required beyond a hierarchical arrangement. This might include related terms, synonyms and preferred/deprecated terms. Thesauri are commonly used for content classification and for providing synonyms in content indexing.

Triples (2 )

Triples, also termed Semantic triples are structured statements about semantic data arranged in the form of subject–predicate–object expressions. There are three components of a triple, such as the statement The sky has the colour blue, consist of a subject (the sky), a predicate (has the colour), and an object (blue). A collection of triples is typically stored in a purpose-built data repository called a Triple store or graph database system.

Uniform Resource Identifier (2 )

A Uniform Resource Identifier (URI) is a piece of information that is intended both to identify and to locate a thing on the Semantic Web. It has a similar form to a conventional website link (called a Uniform Resource Locator or URL). It must be globally unique, and it should ideally be dereferenced.

Vocabulary (2 )

A vocabulary (such as a taxonomy, an ontology or a thesaurus) is a list of topics, terms or concepts that are all related, that a company can use to classify their content.