{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,18]],"date-time":"2025-01-18T05:08:06Z","timestamp":1737176886428,"version":"3.33.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,15]]},"DOI":"10.1109\/bigdata62323.2024.10825415","type":"proceedings-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T18:31:23Z","timestamp":1737052283000},"page":"2297-2302","source":"Crossref","is-referenced-by-count":0,"title":["Enriching Skill Taxonomies through Vector Space Models"],"prefix":"10.1109","author":[{"given":"Simone","family":"D\u2019Amico","sequence":"first","affiliation":[{"name":"University of Milano-Bicocca,CRISP Research Centre,Italy"}]},{"given":"Alessia","family":"De Santo","sequence":"additional","affiliation":[{"name":"University of Milano-Bicocca,CRISP Research Centre,Italy"}]},{"given":"Fabio","family":"Mercorio","sequence":"additional","affiliation":[{"name":"University of Milano-Bicocca,CRISP Research Centre,Italy"}]},{"given":"Mario","family":"Mezzanzanica","sequence":"additional","affiliation":[{"name":"University of Milano-Bicocca,CRISP Research Centre,Italy"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.aao6030"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1474"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/inista55318.2022.9894173"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/icde53745.2022.00310"},{"journal-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","year":"2019","author":"Devlin","key":"ref5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2022.103626"},{"key":"ref7","first-page":"568","article-title":"Neo: A tool for taxonomy enrichment with new emerging occupations","volume-title":"ISWC","author":"Giabelli","year":"2020"},{"article-title":"Merge, ensemble, and cooperate! a survey on collaborative strategies in the era of large language models","year":"2024","author":"Lu","key":"ref8"},{"key":"ref9","first-page":"612","article-title":"Taxoref: Embeddings evaluation for ai-driven taxonomy refinement","volume-title":"ECML-PKDD","author":"Malandri","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380271"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1145\/3394486.3403274","article-title":"Octet: Online catalog taxonomy enrichment with self-supervision","volume-title":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","author":"Mao"},{"article-title":"Mteb: Massive text embedding benchmark","year":"2022","author":"Muennighoff","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.276"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-11405-2"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380132"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.217"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210000"},{"article-title":"Mixture-of-agents enhances large language model capabilities","year":"2024","author":"Wang","key":"ref18"},{"journal-title":"Xlnet: Generalized autoregressive pretraining for language understanding","year":"2020","author":"Yang","key":"ref19"}],"event":{"name":"2024 IEEE International Conference on Big Data (BigData)","start":{"date-parts":[[2024,12,15]]},"location":"Washington, DC, USA","end":{"date-parts":[[2024,12,18]]}},"container-title":["2024 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10824975\/10824942\/10825415.pdf?arnumber=10825415","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T08:26:20Z","timestamp":1737102380000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10825415\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,15]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/bigdata62323.2024.10825415","relation":{},"subject":[],"published":{"date-parts":[[2024,12,15]]}}}