What we’re about
Knowledge Organization London is a meetup group of ISKO UK, the UK Chapter of the International Society for Knowledge Organization. Our events provide an opportunity for specialists from different information domains and industries to meet in an informal and friendly atmosphere and share their experiences, ideas and solutions for improving access to information and knowledge. Within the broad field of information and knowledge organization, information architecture and information management, we discuss underlying technologies, tools, and standards, including metadata, semantic technologies, ontologies and knowledge graphs. We often address various aspects of controlled vocabularies, particularly knowledge organization systems, including classifications, taxonomies, thesauri, and subject heading systems. In line with the ISKO UK Privacy Policy, the ISKO UK Event Team organises and manages the attendance of the Knowledge Organization London meetup group events.
Upcoming events (1)
See all- A Survey on Knowledge Organization Systems of Research FieldsLink visible for attendees
Knowledge Organization Systems (KOSs), such as term lists, thesauri, taxonomies, and ontologies, play a fundamental role in categorising, managing, and retrieving information. In the academic domain, KOSs are often adopted for representing research areas and their relationships, primarily aiming to classify research articles, academic courses, patents, books, scientific venues, domain experts, grants, software, experiment materials, and several other relevant products and agents. These structured representations of research areas, widely embraced by many academic fields, have proven effective in empowering AI-based systems to i) enhance the retrievability of relevant documents, ii) enable advanced analytic solutions to quantify the impact of academic research, and iii) analyse and forecast research dynamics. This paper aims to present a comprehensive survey of the current KOS for academic disciplines. We analysed and compared 45 KOSs according to five main dimensions: scope, structure, curation, usage, and links to other KOSs. Our results reveal a very heterogeneous scenario in terms of scope, scale, quality, and usage, highlighting the need for more integrated solutions for representing research knowledge across academic fields. We conclude by discussing the main challenges and the most promising future directions.
About Dr Angelo Salatino:
Dr Angelo Salatino is a Research Fellow at the Knowledge Media Institute of The Open University who develops AI solutions to analyse scholarly data. His main research interests include detecting emerging research trends and creating semantic technologies to organise scholarly knowledge. He has created several systems used by publishers and research organisations, including the Computer Science Ontology (CSO), currently the largest taxonomy of research topics in Computer Science; the CSO Classifier, which annotates research documents; and Augur, a tool for detecting emerging research topics. Recently, his research has focused on investigating how Large Language Models can support the analysis of scientific knowledge. He is particularly interested in exploring how these models can be enhanced with domain knowledge to understand scientific content better and support researchers and practitioners in their daily activities.About ISKO UK:
These events are brought to you by ISKO UK, a not-for-profit scientific and professional association dedicated to promoting the theory and practice of Knowledge Organization. To learn about membership benefits and how you can join, visit https://www.iskouk.org/join-us. If you want to support our work, please donate at https://www.iskouk.org/donate.Logistics:
Please register with your Zoom account email using the registration link available when you RSVP. You will be asked to log into your Zoom account to attend the event.
