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Making Machine Learning Algorithms Cyber Secure

Machine Learning (ML) algorithms require extremely large volumes of data to learn. This makes them susceptible to cyber threats. Consequently, there is a need to bolster cybersecurity in systems using ML techniques without hampering the performance. A new report published by The European Union Agency for Cybersecurity covers these cybersecurity aspects of machine learning. The […]

Initiative to Improve the Use of Metadata in Public Media

Public broadcasting stations can learn a lot from the success of the experiment conducted by the Public Broadcasting Service (PBS) in improving the discoverability of the Variety Studio: Actors on Actors program. What PBS did to improve the viewership of each episode of Variety Studio: Actors on Actors, a program co-produced by PBS SoCal and […]

Lynx: Knowledge Graph for the Legal Domain

The European Union (EU)-funded project Lynx focuses on the creation of a knowledge graph for the legal domain and its use for the semantic processing, analysis, and enrichment of documents from the legal domain. The overarching goal is to enable European Small and Medium-Sized Enterprises (SMEs) to sell across borders and improve their competitiveness. The […]

Green Digital Finance Alliance Launches First Evergreen Fintech Taxonomy

The Green Digital Finance Alliance (GDFA) and the Swiss Green Fintech network launched the world’s first green financial technology (fintech) taxonomy recently. The taxonomy is accompanied by a report that sets an initial classification of green fintech, the databases leveraged by each category, and examples of services. According to the report, the taxonomy aims to […]

Webpage Featuring the Most Used Ontologies in the Agri-Food Domain

The Ontologies Community of Practice has developed a webpage, which features ontologies ranging from genetics to socio-economics. The webpage provides at a glance the most popular ontologies in the agri-food domain along with the ontologies developed by CGIAR and its partners. The schema organizes ontologies along the agri-food pathway and it is interactive with direct […]

The Role of Classification, Ontology and Sentiment Analysis in ESG Information Systems

Environmental, Social, and Governance (ESG) has its own language. For investment stakeholders, this language is critical for evaluating, complying, and comparing ESG practices. It also influences how Natural Language Processing (NLP) models identify items that data systems track and analyze—concept identification and extraction. Furthermore, this language impacts how things are clustered and classified, as they […]