Linking media: adopting semantic technologies for multimodal media connection
| Autor: | Fernàndez, Dèlia, Bou Balust, Elisenda, Giró Nieto, Xavier, Riviero, Juan Carlos, Espadaler, Joan, Rodríguez, David, Colom Serra, Aleix, Rimmerk, Joan Marco, Varas, David, Massuda, Issey, Roig, Carlos |
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| Přispěvatelé: | Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Knowledge graph
Linked data Semantic technologies Multimedia contents Semantic tagging Content creation Multimodal inputs Multimedia Web semàntica Knowledge graphs Semantic web Linked data Computational approach Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Internet [Àrees temàtiques de la UPC] Semantic Web |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Recercat. Dipósit de la Recerca de Catalunya instname |
| Popis: | Today's media and news organizations are constantly generating large amounts of multimedia content, majorly delivered online. As the online media market grows, the management and delivery of contents is becoming a challenge. Computational approaches can help to overcome this challenge by governing different applications such as content creation, production, search, and its promotion and distribution to different audiences. In this abstract we present a success story of the adoption of semantic technologies on the aforementioned applications, which are built on top of a semantic tagging framework, based on a Knowledge Graph (KG). The presented pipeline combines multimodal inputs into a contextual entity linking module, which indexes documents and links them to trends and stories developing on the news. We will describe how documents are linked and provided to media producers through Vilynx's platform, which is currently indexing over 20k media documents a day. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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