{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T19:37:32Z","timestamp":1766086652446},"reference-count":2,"publisher":"National Library of Serbia","issue":"1","license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ComSIS","COMPUT SCI INF SYST","COMPUT SCI INFORM SY","COMPUTER SCI INFORM","COMSIS J"],"published-print":{"date-parts":[[2011]]},"abstract":"<jats:p>The paper presents an approach to the task of automatic document\n   categorization in the field of economics. Since the documents can be\n   annotated with multiple keywords (labels), we approach this task by applying\n   and evaluating multi-label classification methods of supervised machine\n   learning. We describe forming a test corpus of 1015 economic documents that\n   we automatically classify using a tool which integrates ontology construction\n   with text mining methods. In our experimental work, we evaluate three groups\n   of multi-label classification approaches: transformation to single-class\n   problems, specialized multi-label models, and hierarchical\/ranking models.\n   The classification accuracies of all tested classification models indicate\n   that there is a potential for using all of the evaluated methods to solve\n   this task. The results show the benefits of using complex groups of\n   approaches which benefit from exploiting dependence between the labels. A\n   good alternative to these approaches is also single-class naive Bayes\n   classifiers coupled with the binary relevance transformation approach.<\/jats:p>","DOI":"10.2298\/csis100420034v","type":"journal-article","created":{"date-parts":[[2010,11,12]],"date-time":"2010-11-12T08:02:00Z","timestamp":1289548920000},"page":"101-119","source":"Crossref","is-referenced-by-count":34,"title":["Ontology-based multi-label classification of economic articles"],"prefix":"10.2298","volume":"8","author":[{"given":"Sergeja","family":"Vogrincic","sequence":"first","affiliation":[]},{"given":"Zoran","family":"Bosnic","sequence":"additional","affiliation":[]}],"member":"1078","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.4018\/jdwm.2007070101"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.162"}],"container-title":["Computer Science and Information Systems"],"original-title":[],"language":"en","deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T08:29:56Z","timestamp":1685348996000},"score":1,"resource":{"primary":{"URL":"https:\/\/doiserbia.nb.rs\/Article.aspx?ID=1820-02141000034V"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"references-count":2,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2011]]}},"URL":"https:\/\/doi.org\/10.2298\/csis100420034v","relation":{},"ISSN":["1820-0214","2406-1018"],"issn-type":[{"value":"1820-0214","type":"print"},{"value":"2406-1018","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011]]}}}