With the rise of linked data and the semantic web, concepts and terms like ‘ontology’, ‘vocabulary’, ‘thesaurus’ or ‘taxonomy’ are being picked up frequently by information managers, search engine specialists or data engineers to describe ‘knowledge models’ in general. In many cases the terms are used without any specific meaning which brings a lot of people to the basic question:
What are the differences between a taxonomy, a thesaurus, an ontology and a knowledge graph?
This article should bring light into this discussion by guiding you through an example which starts off from a taxonomy, introduces an ontology and finally exposes a knowledge graph (linked data graph) to be used as the basis for semantic applications.
1. Taxonomies and thesauri
Taxonomies and thesauri are closely related species of controlled vocabularies to describe relations between concepts and their labels including[read more]
The reduction of green house gas emissions is one of the big global challenges for the next decades. (Linked) Open Data on this multi-domain challenge is key for addressing the issues in policy, construction, energy efficiency, production a like. Today – on the World Environment Day 2014 – a new (linked open) data initiative contributes to this effort: GBPN’s Data Endpoint for Building Energy Performance Scenarios.
GBPN (The Global Buildings Performance Network[read more]
In 2012 Jem Rayfield released an insightful post about the BBC’s Linked Data strategy during the Olympic Games 2012. In this post he coined the term “Dynamic Semantic Publishing”, referring to
“the technology strategy the BBC Future Media department is using to evolve from a relational content model and static publishing framework towards a fully dynamic semantic publishing (DSP) architecture.”
According to Rayfield this approach is characterized by
Quote: “The vision of semantic publishing in the BBC has shifted from supporting high profile events to connecting the BBC’s content around things that matter to the audience. To this end, we have increased the application of linked data to domains other than sports such as news, education and music with the intention that the content we produce can be reused and discovered through a multitude of channels.”
In her keynote, Sofia will outline the technological and cultural factors that have[read more]