Linguistic Linked Open Data is a movement about publishing data for linguistics and natural language processing using the following principles:
Data should be openly license using licenses such as the Creative Commons licenses.
The elements in a dataset should be uniquely identified by means of a URI.
The URI should resolve, so users can access more information using web browsers.
Resolving an LLOD resource should return results using web standards such as HTML, RDF or JSON-LD (Content Negotiation may be used to show different versions to different users).
Links to other resources should be included to help users discover new resources and provide semantics.
The primary benefits of LLOD have been identified as:Representation: Linked graphs are a more flexible representation format for linguistic data:
Interoperability: Common RDF models can easily be integrated
Federation: Data from multiple sources can trivially be combined
Ecosystem: Tools for RDF and linked data are widely available under open source licenses
Expressivity: Existing vocabularies such as OWL, lemon and NIF help express linguistic resources.
Semantics: Common links express what you mean.
Dynamicity: Web data can be continuously improved.
Ein LLOD-Projekt ist die Linguistic Linked Open Data Cloud:
The Linguistic Linked Open Data cloud is a collaborative effort pursued by several members of the OWLG, with the general goal to develop a Linked Open Data (sub-)cloud of linguistic resources. The diagram is inspired by the Linking Open Data cloud diagram by Richard Cyganiak and Anja Jentzsch, and the resources included are chosen according to the same criteria of openness, availability and interlinking. Although not all resources are already available, we actively work towards this goal, and subsequent versions of this diagram will be restricted to openly available resources. Until that point, please refer to the diagram explicitly as a „draft“.
