{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T18:30:15Z","timestamp":1777573815405,"version":"3.51.4"},"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":[[2022,7]]},"abstract":"<jats:p>AMICA is an argument mining-based search engine, specifically designed for the analysis of scientific literature related to Covid-19. AMICA retrieves scientific papers based on matching keywords and ranks the results based on the papers' argumentative content. An experimental evaluation conducted on a case study in collaboration with the Italian National Institute of Health shows that the  AMICA ranking agrees with expert opinion, as well as, importantly, with the impartial quality criteria indicated by Cochrane Systematic Reviews.<\/jats:p>","DOI":"10.24963\/ijcai.2022\/857","type":"proceedings-article","created":{"date-parts":[[2022,7,16]],"date-time":"2022-07-16T02:55:56Z","timestamp":1657940156000},"page":"5932-5935","source":"Crossref","is-referenced-by-count":1,"title":["AMICA: An Argumentative Search Engine for COVID-19 Literature"],"prefix":"10.24963","author":[{"given":"Marco","family":"Lippi","sequence":"first","affiliation":[{"name":"University of Modena and Reggio Emilia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Antici","sequence":"additional","affiliation":[{"name":"University of Bologna"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gianfranco","family":"Brambilla","sequence":"additional","affiliation":[{"name":"National Institute of Health"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Evaristo","family":"Cisbani","sequence":"additional","affiliation":[{"name":"National Institute of Health"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrea","family":"Galassi","sequence":"additional","affiliation":[{"name":"University of Bologna"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniele","family":"Giansanti","sequence":"additional","affiliation":[{"name":"National Institute of Health"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio","family":"Magurano","sequence":"additional","affiliation":[{"name":"National Institute of Health"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonella","family":"Rosi","sequence":"additional","affiliation":[{"name":"National Institute of Health"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Federico","family":"Ruggeri","sequence":"additional","affiliation":[{"name":"University of Bologna"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Torroni","sequence":"additional","affiliation":[{"name":"University of Bologna"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}","theme":"Artificial Intelligence","location":"Vienna, Austria","acronym":"IJCAI-2022","number":"31","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2022,7,23]]},"end":{"date-parts":[[2022,7,29]]}},"container-title":["Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T11:11:56Z","timestamp":1658142716000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2022\/857"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2022\/857","relation":{},"subject":[],"published":{"date-parts":[[2022,7]]}}}