{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T22:28:15Z","timestamp":1767652095565},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>Zero-shot learning (ZSL) is a popular research problem that aims at predicting for those classes that have never appeared in the training stage by utilizing the inter-class relationship with some side information. In this study, we propose to model the compositional and expressive semantics of class labels by an OWL (Web Ontology Language) ontology, and further develop a new ZSL framework with ontology embedding. The effectiveness has been verified by some primary experiments on animal image classification and visual question answering.<\/jats:p>","DOI":"10.24963\/kr.2020\/87","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T04:39:16Z","timestamp":1597898356000},"page":"850-854","source":"Crossref","is-referenced-by-count":10,"title":["Ontology-guided Semantic Composition for Zero-shot Learning"],"prefix":"10.24963","author":[{"given":"Jiaoyan","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Oxford, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Freddy","family":"L\u00e9cu\u00e9","sequence":"additional","affiliation":[{"name":"INRIA, France"},{"name":"CortAIx@Thales, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuxia","family":"Geng","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeff Z.","family":"Pan","sequence":"additional","affiliation":[{"name":"School of Informatics, The University of Edinburgh, UK"},{"name":"Department of Computer Science, The University of Aberdeen, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huajun","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"17","sponsor":["Artificial Intelligence Journal","Principles of Knowledge Representation and Reasoning Inc.","Association for Logic Programming","Center for Perspicuous Computing","European Association for Artificial Intelligence","Ontopic - The Virtual Knowledge Graph Company"],"acronym":"KR-2020","name":"17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}","start":{"date-parts":[[2020,9,12]]},"theme":"Artificial Intelligence","location":"Rhodes, Greece","end":{"date-parts":[[2020,9,18]]}},"container-title":["Proceedings of the Seventeenth International Conference on Principles of Knowledge Representation and Reasoning"],"original-title":[],"deposited":{"date-parts":[[2020,11,5]],"date-time":"2020-11-05T21:18:51Z","timestamp":1604611131000},"score":1,"resource":{"primary":{"URL":"https:\/\/proceedings.kr.org\/2020\/87"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/kr.2020\/87","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}