Vrochidis, StefanosMoumtzidou, AnastasiaGialampoukidis, IliasLiparas, DimitrisCasamayor, GerardWanner, LeoHeise, NicolausWagner, TilmanBilous, AndriyJamin, EmmanuelSimeonov, BoyanAlexiev, VladimirBusch, ReinhardArapakis, IoannisKompatsiaris, Ioannis2021-06-232021-06-232018Vrochidis S, Moumtzidou A, Gialampoukidis I, Liparas D, Casamayor G, Wanner L, Heise N, Wagner T, Bilous A, Jamin E, Simeonov B, Alexiev V, Busch R, Arapakis I, Kompatsiaris I. A multimodal analytics platform for journalists analyzing large-scale, heterogeneous multilingual, and multimedia content. Front Robot AI. 2018;5:123. DOI: 10.3389/frobt.2018.001232296-9144http://hdl.handle.net/10230/47965Analysts and journalists face the problem of having to deal with very large, heterogeneous, and multilingual data volumes that need to be analyzed, understood, and aggregated. Automated and simplified editorial and authoring process could significantly reduce time, labor, and costs. Therefore, there is a need for unified access to multilingual and multicultural news story material, beyond the level of a nation, ensuring context-aware, spatiotemporal, and semantic interpretation, correlating also and summarizing the interpreted material into a coherent gist. In this paper, we present a platform integrating multimodal analytics techniques, which are able to support journalists in handling large streams of real-time and diverse information. Specifically, the platform automatically crawls and indexes multilingual and multimedia information from heterogeneous resources. Textual information is automatically summarized and can be translated (on demand) into the language of the journalist. High-level information is extracted from both textual and multimedia content for fast inspection using concept clouds. The textual and multimedia content is semantically integrated and indexed using a common representation, to be accessible through a web-based search engine. The evaluation of the proposed platform was performed by several groups of journalists revealing satisfaction from the user side.application/pdfeng© 2018 Vrochidis, Moumtzidou, Gialampoukidis, Liparas, Casamayor, Wanner, Heise, Wagner, Bilous, Jamin, Simeonov, Alexiev, Busch, Arapakis and Kompatsiaris. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) https://creativecommons.org/licenses/by/4.0/. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.info:eu-repo/semantics/articlehttp://dx.doi.org/10.3389/frobt.2018.00123Multimodal analytics platformJournalismMultilingual content analysisBig dataKnowledge extractionSemantic analysisinfo:eu-repo/semantics/openAccess