General Ontology for Linguistic Description, shortly GOLD, was developed within the E-Meld Project whose goals are to develop recommendations of best practices in building metadata, markup, language identification and linguistic ontology.
GOLD is an ontology designed specifically for descriptive linguistics. It defines linguistic domain-specific terms using OWL and provides a formalized list of the most basic and general linguistic categories and their relations, thus is applicable for all (human) languages.
GOLD provides not only definitions to formalize reference categories, but also a semantic framework for the representation of all kinds of linguistic knowledge. Moreover, it defines how the knowledge can be linked to the reference categories.
- Basic Formal Ontology
- DARPA Agent Markup Language + Ontology Integration Language
- Descriptive Ontology for Linguistic and Cognitive Engineering
- Distributed Ontology Language
- Flora-2
- Language resource management — Persistent identification and sustainable access
- Language resource management — Simplified natural language — Part 1: Basic concepts and general principles
- Ontologies of Linguistic Annotation
- Ontology Integration and Interoperability
- OpenCyc
- Presentation/representation of entries in dictionaries — Requirements, recommendations and information
- SIMPLE Core Ontology
- Semantic Web Rule Language Combining OWL and RuleML
- Suggested Upper Merged Ontology
- Systems to manage terminology, knowledge and content — Design, implementation and maintenance of terminology management systems
- TermBase eXchange
- Upper Mapping and Binding Exchange Layer
- Web Ontology Language
- S. Farrar and T. Langendoen, "A Linguistic Ontology for the Semantic Web," GLOT International, vol. 7, no. 3, pp. 97-100, 2003.
- S. Farrar and D. Langendoen, "An OWL-DL Implementation of GOLD: An ontology for the Semantic Web," in Linguistic modeling of information and Markup Languages. Contributions to language technology. Dordrecht: Springer, 2007, pp. 45-66.
- Institute for Language Information and Technology
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