TY - JOUR AU - Crowston, K. AU - Jackson, C. AU - Corieri, I. AU - Østerlund, C. TI - Design Principles for Background Knowledge to Enhance Learning in Citizen Science JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 13972 PY - 2023 SP - 563 EP - 580 PG - 18 SN - 9783031280313 SN - 0302-9743 DO - 10.1007/978-3-031-28032-0_43 UR - https://m2.mtmt.hu/api/publication/34714152 ID - 34714152 LA - English DB - MTMT ER - TY - JOUR AU - Soares, F.M. AU - Bergier, I. AU - Coradini, M.C. AU - Ferreira, A.P.L. AU - Telles, M.A. AU - dos Santos Maculan, B.C.M. AU - de Cléofas Faggion Alencar, M. AU - Simão, V.P.M. AU - de Almeida, B.T. AU - Drucker, D.P. AU - Machado Vieira, M.S. AU - da Cruz, S.M.S. TI - Unveiling Knowledge Organization Systems’ Artifacts for Digital Agriculture with Lexical Network Analysis JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 14319 LNCS PY - 2023 SP - 299 EP - 311 PG - 13 SN - 0302-9743 DO - 10.1007/978-3-031-47112-4_28 UR - https://m2.mtmt.hu/api/publication/34534897 ID - 34534897 N1 - cited By 0 AB - This article presents a bibliometric and terminological study of a corpus composed of abstracts and titles of 278 articles retrieved by a review protocol planned for surveying initiatives on building artifacts for modeling knowledge related to agricultural production systems. The original corpus comprised a 53,379-word linguistic extract filtered to 111 interconnected major terminologies by combining AntConc and VOSViewer tools. The reduced data were imported into the Gephi tool for analysis of lexical network graphs. Emergent clusters and their central terms underscore the thematic areas that prominently shape the landscape of agricultural Knowledge Organization Systems (KOS) and highlight the interplay between technological advancements, semantic enrichment, and domain-specific challenges. Our analysis of term occurrences and clusters contributes to a broader understanding of these concepts, inferring their significance, roles, and interconnections within the agricultural landscape. It also sheds light on the roles played by KOS in Digital Agriculture. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. LA - English DB - MTMT ER - TY - JOUR AU - Holzer, M. AU - Nagy, Benedek TI - Preface JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 14151 LNCS PY - 2023 SP - v EP - vi SN - 978-303140246-3 SN - 0302-9743 UR - https://m2.mtmt.hu/api/publication/34406580 ID - 34406580 LA - English DB - MTMT ER - TY - JOUR AU - Purohit, M.V. TI - Discovery of Small Signals in Big Backgrounds JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 13830 LNCS PY - 2023 SP - 31 EP - 37 PG - 7 SN - 9783031283499 SN - 0302-9743 DO - 10.1007/978-3-031-28350-5_3 UR - https://m2.mtmt.hu/api/publication/33857731 ID - 33857731 N1 - Conference code: 292429 LA - English DB - MTMT ER - TY - JOUR AU - Xuan, T. AU - Borca-Tasciuc, G. AU - Zhu, Y. AU - Sun, Y. AU - Dean, C. AU - Shi, Z. AU - Yu, D. TI - Trigger Detection for the sPHENIX Experiment via Bipartite Graph Networks with Set Transformer JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 13715 PY - 2023 SP - 51 EP - 67 PG - 17 SN - 0302-9743 DO - 10.1007/978-3-031-26409-2_4 UR - https://m2.mtmt.hu/api/publication/33856740 ID - 33856740 LA - English DB - MTMT ER - TY - JOUR AU - Sun, S. AU - Zhang, Z. AU - Wang, R. AU - Tian, H. TI - Multi-scale Subgraph Contrastive Learning for Link Prediction JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 13633 PY - 2022 SP - 217 EP - 223 PG - 7 SN - 0302-9743 DO - 10.1007/978-3-031-21244-4_16 UR - https://m2.mtmt.hu/api/publication/34451643 ID - 34451643 LA - English DB - MTMT ER - TY - JOUR AU - Misnikov, Y AU - Filatova, O TI - e-Participation as Mediated Ecosystem? A Case Study on Municipalities of St. Petersburg, Russia JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 13517 PY - 2022 SP - 81 EP - 96 PG - 16 SN - 0302-9743 DO - 10.1007/978-3-031-22131-6_7 UR - https://m2.mtmt.hu/api/publication/34393753 ID - 34393753 LA - English DB - MTMT ER - TY - JOUR AU - Viet, N.T. AU - Kravets, A. AU - Hoang, T.D.Q. TI - Data Mining Methods for Analysis and Forecast of an Emerging Technology Trend: A Systematic Mapping Study from SCOPUS Papers JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 12948 PY - 2021 SP - 81 EP - 101 PG - 21 SN - 0302-9743 DO - 10.1007/978-3-030-86855-0_7 UR - https://m2.mtmt.hu/api/publication/34026936 ID - 34026936 LA - English DB - MTMT ER - TY - JOUR AU - Scherer, A. AU - Guggemos, T. AU - Grundner-Culemann, S. AU - Pomplun, N. AU - Prüfer, S. AU - Spörl, A. TI - OnCall Operator Scheduling for Satellites with Grover’s Algorithm JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 12747 LNCS PY - 2021 SP - 17 EP - 29 PG - 13 SN - 0302-9743 DO - 10.1007/978-3-030-77980-1_2 UR - https://m2.mtmt.hu/api/publication/32488441 ID - 32488441 LA - English DB - MTMT ER - TY - JOUR AU - Zieliński, S.K. AU - Saeed K., Dvorsky J. TI - Improving Classification of Basic Spatial Audio Scenes in Binaural Recordings of Music by Deep Learning Approach JF - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE J2 - LECT NOTES ARTIF INT VL - 12133 LNCS PY - 2020 SP - 291 EP - 303 PG - 13 SN - 0302-9743 DO - 10.1007/978-3-030-47679-3_25 UR - https://m2.mtmt.hu/api/publication/33789131 ID - 33789131 N1 - cited By 3 LA - English DB - MTMT ER -