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 […]
Read moreInitiative 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 […]
Read moreLynx: 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 […]
Read moreGreen 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 […]
Read moreWebpage 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 […]
Read moreThe 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 […]
Read moreOpen Data Labelling Standard for Automated Driving
Machine Learning (ML) techniques enable automated driving. The techniques help a vehicle perceive its environment and process the data it collects. To ensure reliable functioning, ML algorithms require high-quality annotated data. However, the large volume of data and ambiguous labeling prevent the data from being reused and shared, and the results being reproduced. Besides open […]
Read moreSub-Ontology for International Patient Summary
SNOMED International announced it would create and release an open, standalone International Patient Summary (IPS) sub-ontology in the first half of 2022, which will support international data sharing. According to SNOMED, implementers will be able to leverage the IPS sub-ontology in healthcare tools using SNOMED CT through its query language and hierarchies for specified scopes. […]
Read moreHow Ontologies Help Enterprises Overcome Data Challenges
Today most enterprises in their endeavor to be data-centric, face challenges like disconnected and heterogeneous data; legacy infrastructure that cannot scale; and complex data that analysts are unable to utilize. Ontology can help an enterprise overcome these challenges. Technically, an ontology is a set of statements. Each statement is triples made up of a subject, […]
Read moreNew Taxonomy for Aiding Privacy by Design
Privacy by design is conceptually simple. It is putting privacy into practice in system architectures and software development from the beginning and throughout the system lifecycle. However, system developers and privacy engineers responsible for implementing it face many simple but hard-to-answer questions. The first release of Fides, an open-source, human-readable description language, constitutes a step […]
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