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dc.contributor.authorFernández Cañellas, Dèlia
dc.contributor.authorEspadaler, Joan
dc.contributor.authorRodríguez, David
dc.contributor.authorGarolera, Blai
dc.contributor.authorCanet Tarrés, Gemma
dc.contributor.authorColom Serra, Aleix
dc.contributor.authorRimmek, Joan Marco
dc.contributor.authorGiró Nieto, Xavier
dc.contributor.authorBou Balust, Elisenda
dc.contributor.authorRiveiro, Juan Carlos
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2020-04-27T10:51:10Z
dc.date.available2020-04-27T10:51:10Z
dc.date.issued2019
dc.identifier.citationFernández, D. [et al.]. VLX-Stories: building an online Event Knowledge Base with Emerging Entity detection. A: International Semantic Web Conference. "The Semantic Web - ISWC 2019: 18th International Semantic Web Conference: Auckland, New Zealand, October 26-30, 2019: proceedings". Berlín: Springer, 2019, p. 382-399.
dc.identifier.isbn978-3-030-30795-0
dc.identifier.otherhttps://imatge.upc.edu/web/publications/vlx-stories-building-online-event-knowledge-base-emerging-entity-detection
dc.identifier.urihttp://hdl.handle.net/2117/185239
dc.description.abstractWe present an online multilingual system for event detection and comprehension from media feeds. The system retrieves information from news sites, aggregates them into events (event detection), and summarizes them by extracting semantic labels of its most relevant entities (event representation) in order to answer the journalism Ws: who, what, when and where. The generated events populate VLX-Stories -an event ontology- transforming unstructured text data to a structured knowledge base representation. Our system exploits an external entity Knowledge Graph (VKG) to help populate VLX-Stories. At the same time, this external knowledge graph can also be extended with a Dynamic Entity Linking (DEL) module, which detects emerging entities (EE) on unstructured data. The system is currently deployed in production and used by media producers in the editorial process, providing real-time access to breaking news. Each month, VLX-Stories detects over 9000 events from over 4000 news feeds from seven different countries and in three different languages. At the same time, it detects over 1300 EE per month, which populate VKG.
dc.format.extent18 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject.lcshSemantic Web
dc.subject.otherKnowledge base population
dc.subject.otherKnowledge graph
dc.subject.otherEvent encoding
dc.subject.otherEntity linking
dc.subject.otherEmerging entities
dc.subject.otherTopic detection
dc.titleVLX-Stories: building an online Event Knowledge Base with Emerging Entity detection
dc.typeConference lecture
dc.subject.lemacWeb semàntica
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1007/978-3-030-30796-7_24
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-30796-7_24
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac27690948
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorFernández, D.; Espadaler, J.; Rodríguez, D.; Garolera, B.; Canet, G.; Colom, A.; Rimmek, J.; Giro, X.; Bou, E.; Riveiro, J. C.
local.citation.contributorInternational Semantic Web Conference
local.citation.pubplaceBerlín
local.citation.publicationNameThe Semantic Web - ISWC 2019: 18th International Semantic Web Conference: Auckland, New Zealand, October 26-30, 2019: proceedings
local.citation.startingPage382
local.citation.endingPage399


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