A multimodal analytics platform for journalists analyzing large-scale, heterogeneous multilingual, and multimedia content

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• dc.contributor.author Vrochidis, Stefanos
• dc.contributor.author Moumtzidou, Anastasia
• dc.contributor.author Gialampoukidis, Ilias
• dc.contributor.author Liparas, Dimitris
• dc.contributor.author Casamayor, Gerard
• dc.contributor.author Wanner, Leo
• dc.contributor.author Heise, Nicolaus
• dc.contributor.author Wagner, Tilman
• dc.contributor.author Bilous, Andriy
• dc.contributor.author Jamin, Emmanuel
• dc.contributor.author Simeonov, Boyan
• dc.contributor.author Alexiev, Vladimir
• dc.contributor.author Busch, Reinhard
• dc.contributor.author Arapakis, Ioannis
• dc.contributor.author Kompatsiaris, Ioannis
• dc.date.accessioned 2021-06-23T08:11:51Z
• dc.date.available 2021-06-23T08:11:51Z
• dc.date.issued 2018
• dc.description.abstract Analysts 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.
• dc.description.sponsorship This work was xsupported by the EC funded projects MULTISENSOR (FP7-610411) and V4Design (H2020-779962)x.
• dc.format.mimetype application/pdf
• dc.identifier.citation Vrochidis 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.2018.00123
• dc.identifier.doi http://dx.doi.org/10.3389/frobt.2018.00123
• dc.identifier.issn 2296-9144
• dc.identifier.uri http://hdl.handle.net/10230/47965
• dc.language.iso eng
• dc.publisher Frontiers
• dc.relation.ispartof Frontiers in Robotics and AI. 2018;5:123
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/610411
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/779962
• dc.rights © 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.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Multimodal analytics platform
• dc.subject.keyword Journalism
• dc.subject.keyword Multilingual content analysis
• dc.subject.keyword Big data
• dc.subject.keyword Knowledge extraction
• dc.subject.keyword Semantic analysis
• dc.title A multimodal analytics platform for journalists analyzing large-scale, heterogeneous multilingual, and multimedia content
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion