Journal article
Knowledge Organization Systems: A Network for AI with Helping Interdisciplinary Vocabulary Engineering
Cataloging & classification quarterly, v 59(8), pp 720-739
19 Oct 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Knowledge Organization Systems (KOS) as networks of knowledge have the potential to inform AI operations. This paper explores natural language processing and machine learning in the context of KOS and Helping Interdisciplinary Vocabulary Engineering (HIVE) technology. The paper presents three use cases: HIVE and Historical Knowledge Networks, HIVE for Materials Science (HIVE-4-MAT), and Using HIVE to Enhance and Explore Medical Ontologies. The background section reviews AI foundations, while the use cases provide a frame of reference for discussing current progress and implications of connecting KOS to AI in digital resource collections.
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Details
- Title
- Knowledge Organization Systems: A Network for AI with Helping Interdisciplinary Vocabulary Engineering
- Creators
- Jane Greenberg - Drexel UniversityXintong Zhao - Drexel UniversityMichal Monselise - Drexel UniversitySam Grabus - Drexel UniversityJoan Boone - Drexel University
- Publication Details
- Cataloging & classification quarterly, v 59(8), pp 720-739
- Publisher
- Routledge
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000716910400001
- Scopus ID
- 2-s2.0-85119109815
- Other Identifier
- 991019168146804721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Information Science & Library Science