This document provides principles for how standards are developed and maintained in Britain. It outlines the role of BSI as the national standards body and how standards committees are formed and operate. The document also discusses principles for standards content, drafting, publishing, and maintaining standards over time. The goal is to establish a framework that allows flexibility while supporting common expectations.
This document provides principles for how standards are developed and maintained in Britain. It outlines the role of BSI as the national standards body and how standards committees are formed and operate. The document also discusses principles for standards content, drafting, publishing, and maintaining standards over time. The goal is to establish a framework that allows flexibility while supporting common expectations.
A Vague Sense Classifier for Detecting Vague Definitions in OntologiesPanos Alexopoulos
The document summarizes a study on developing a classifier to detect vague definitions in ontologies. It describes training a naive Bayes classifier on 2000 WordNet senses labeled as vague or not vague. The classifier achieved 84% accuracy on a test set. It was then used to classify relations in the CiTO ontology, correctly identifying 82% as vague or not vague. While a subjectivity classifier only identified 40% of the same relations accurately. Future work involves improving the classifier and incorporating it into an ontology analysis tool.
BSI is a global standards organization that was established in the UK in 1901. It helps organizations implement standards related to quality management, environmental management, information security, and other areas. BSI shapes global standards, shares standards knowledge, embeds standards through training, assesses organizations' conformance to standards, and provides ongoing support for continuous improvement. It has a global network of over 4,000 employees and 10,000 industry experts who work with over 70,000 clients in 150 countries.
A Vague Sense Classifier for Detecting Vague Definitions in OntologiesPanos Alexopoulos
The document summarizes a study on developing a classifier to detect vague definitions in ontologies. It describes training a naive Bayes classifier on 2000 WordNet senses labeled as vague or not vague. The classifier achieved 84% accuracy on a test set. It was then used to classify relations in the CiTO ontology, correctly identifying 82% as vague or not vague. While a subjectivity classifier only identified 40% of the same relations accurately. Future work involves improving the classifier and incorporating it into an ontology analysis tool.
BSI is a global standards organization that was established in the UK in 1901. It helps organizations implement standards related to quality management, environmental management, information security, and other areas. BSI shapes global standards, shares standards knowledge, embeds standards through training, assesses organizations' conformance to standards, and provides ongoing support for continuous improvement. It has a global network of over 4,000 employees and 10,000 industry experts who work with over 70,000 clients in 150 countries.