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Ensuring Digital Medicine Coding Keeps Pace with Innovation

The Current Procedural Terminology (CPT) Editorial Panel ensures CPT codes keep pace with the innovation in digital medicine. However, the American Medical Association’s (AMA) Digital Medicine Payment Advisory Group (DMPAG) has identified a need for a taxonomy to manage the wide range of CPT codes in medicine. Consequently, the Digital Medicine Taxonomy was approved at […]

The BorderUAS Ontology

The BorderUAS ontology aims to structure the knowledge and possible events in the border surveillance domain, align the concepts with the Law Enforcement Agency’s (LEA’s) terminology, and cover the scenarios introduced by end-users. The ontology is divided into 4 individual modules – core ontology, domain ontology, analytics application ontology, and LEA application ontology. This modularization […]

Adding Richer and Interlinked Metadata to Existing Collections in Europeana

PAGODE is an innovative project for enriching the user experience and enhancing audience engagement with the digital Chinese heritage collections in Europeana, the European digital library. Among the activities in PAGODE, a significant effort is deployed to make many of the collections in Europeana more visible and easily searchable. Automated semantic enrichment and deep curatorial […]

Meeting User Expectations with Machine Learning Enabled Enterprise Search

Almost all major search engines use machine learning, and it has also transformed enterprise search. The cross-industry impact of machine learning-enabled enterprise search has led users to expect machines to find what they need and bring it to them. To meet these user expectations, enterprises have to take advantage of smart taxonomies. Users no longer […]

Streamlining Digital Asset Management Workflows with Artificial Intelligence

Digital Asset Management (DAM) systems rely on metadata to provide structure and information to make digital assets findable. However, without a clear process, adding metadata is time-consuming and error-prone. With the help of image recognition software, AI will help in overcoming these challenges. It will play a significant role in systems management through its ability […]

U.S. Regulators Developing ‘Green Taxonomy’ to Provide Guidance to Financial Firms

With climate risk regulation in the development phase, coordination among U.S. securities and derivatives regulators is essential for developing a green taxonomy. Developing a joint green taxonomy would help financial participants understand what types of assets regulators view as green. The taxonomy would also help them classify assets for an issuer’s or borrower’s contribution to […]

Vocabulary Initiative for the Social Sciences and Humanities Sector

Researchers in the Social Sciences and Humanities (SSH) sector face a multitude of challenges. In addition to the numerous theoretical and empirical approaches to research, they have to cope with a large pool of vocabularies and vocabulary service tools and platforms. These challenges can extensively hinder their positive impact on data aggregation, discovery, and access. […]

Final Report on Development of Linked Data for Canadian Libraries Released

A group of Canadian libraries took the proactive step of coming together in 2015 through the Canadian Linked Data Initiative (CLDI). They used CLDI as a venue for discussion on all aspects of linked data initiatives in Canadian libraries. There were eight working groups with members from across Canada. Many working groups discussed BIBFRAME as […]

Korean Government to Establish K-Taxonomy for Defining Environmentally Sustainable Industries and Economic Activities

The Republic of Korea is taking decisive action to achieve carbon neutrality by 2050 by establishing K-taxonomy- a green taxonomy to help investors make sound investments and lending decisions and protect them from greenwashing. Having a K-taxonomy will help the Korean authorities and investors effectively mobilize green finance and make socially responsible investments. The taxonomy […]

Avoiding Ambiguity in Data Management with Taxonomy

For businesses, a significant challenge with data management is ambiguity. A taxonomy offers contextual understanding in instances where a term might bear multiple meanings and help in removing ambiguity. A good quality data management taxonomy takes into account all the sources of ambiguity to ensure data is always categorized accurately, regardless of how it is […]