Data Science & Metadata Research

Semantic Web and Linked Data: Ontologies and Frameworks

Semantic Web encompasses the technology that connects data from different sources across the Web as envisioned by Tim Berners-Lee and led by the World Wide Web Consortium (W3C). This Web of Data enables the linking of data sets across data silos on the Web by providing for machine-to-machine communication through the use of Linked Data. 

Lexical analysis and syntax-highlighting in JavaScript The Getty Vocabularies as Linked Open Data Semantic Web for the Working Ontologist  Linked Data: Evolving the Web into a Global Data Space

Ontology Development: A Guide to Creating Ontology Understanding Metadata Glossary of Metadata Standards Linked Data Platform Best Practices and Guidelines

Vocabularies, Ontologies & Frameworks

Controlled vocabularies, ontologies, schemas, thesauri, and syntaxes are building blocks used by Resource Description Framework (RDF) to structure data semantically, identify resources, and to show the relationships between resources in Linked Data. Libraries and cultural institutions belong to one of the many knowledge organization domains making use of controlled authorities. These pages focus especially on the vocabularies and computer languages that are used in the library and cultural heritage institutions data landscape.

About Taxonomies & Controlled Vocabularies                 Linked Open Vocabularies (LOV) The Getty Vocabularies as Linked Open Data Thesaurus of Geographic Names® Online

FOAF (Friend of a Friend) Vocabulary Specification Keyword Planner WorldCat Linked Data Vocabulary Describing Linked Datasets with the VoID Vocabulary

Articles, Development Plans, & Reports

Natural-language understanding (NLU)                                  Natural-language generation (NLG) Gender prediction using a Machine Learning  An innovative automatic indexing method for Arabic text

A BERT Framework to Sentiment Analysis of Tweets Fundamentals of Natural Language Processing Learner corpus research and natural language processing Transformers in Natural Language Processing