{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T02:13:32Z","timestamp":1779243212502,"version":"3.51.4"},"reference-count":42,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2018,3,27]],"date-time":"2018-03-27T00:00:00Z","timestamp":1522108800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["LHT"],"published-print":{"date-parts":[[2018,6,4]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>Library intelligence institutions, which are a kind of traditional knowledge management organization, are at the frontline of the big data revolution, in which the use of unstructured data has become a modern knowledge management resource. The paper aims to discuss this issue.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>This research combined theme logic structure (TLS), artificial neural network (ANN), and ensemble empirical mode decomposition (EEMD) to transform unstructured data into a signal-wave to examine the research characteristics.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Research characteristics have a vital effect on knowledge management activities and management behavior through concentration and relaxation, and ultimately form a quasi-periodic evolution. Knowledge management should actively control the evolution of the research characteristics because the natural development of six to nine years was found to be difficult to plot.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>Periodic evaluation using TLS-ANN-EEMD gives insights into journal evolution and allows journal managers and contributors to follow the intrinsic mode functions and predict the journal research characteristics tendencies.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/lht-10-2017-0211","type":"journal-article","created":{"date-parts":[[2018,3,27]],"date-time":"2018-03-27T06:27:38Z","timestamp":1522132058000},"page":"411-425","source":"Crossref","is-referenced-by-count":8,"title":["Text mining based theme logic structure identification: application in library journals"],"prefix":"10.1108","volume":"36","author":[{"given":"Qing","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiqiong","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuze","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyang","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2018,3,27]]},"reference":[{"key":"key2021041509200500900_ref001","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.apenergy.2016.12.155","article-title":"Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands","volume":"190","year":"2017","journal-title":"Applied Energy"},{"issue":"2","key":"key2021041509200500900_ref002","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.acalib.2015.12.014","article-title":"A text mining analysis of academic libraries\u2019 tweets","volume":"42","year":"2016","journal-title":"Journal of Academic Librarianship"},{"issue":"46","key":"key2021041509200500900_ref003","doi-asserted-by":"crossref","first-page":"40502","DOI":"10.1039\/C6RA01874B","article-title":"Statistical experimental design, least square-support vector machine (LS-SVM) and artificial neural network (ANN) methods for modeling of facilitated adsorption of methylene blue dye","volume":"6","year":"2016","journal-title":"RSC Advances"},{"issue":"2","key":"key2021041509200500900_ref004","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1080\/10580530801941058","article-title":"Management support with structured and unstructured data \u2013 an integrated business intelligence framework","volume":"25","year":"2008","journal-title":"Information Systems Management"},{"key":"key2021041509200500900_ref005","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.inffus.2015.08.005","article-title":"Social big data: recent achievements and new challenges","volume":"28","year":"2016","journal-title":"Information Fusion"},{"issue":"6","key":"key2021041509200500900_ref006","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1002\/asi.21020","article-title":"Definition and identification of journals as bibliographic and subject entities: librarianship versus ISI Journal citation reports, methods and their effect on citation measures","volume":"60","year":"2009","journal-title":"Journal of the American Society for Information Science & Technology"},{"issue":"1","key":"key2021041509200500900_ref007","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1093\/reep\/rew013","article-title":"What drives deforestation and what stops it? 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