Scientific Workshop
February 11th
Digital curation is a complex time and knowledge intensive process, in which knowledge workers create new content artifacts and knowledge insights from heterogeneous sources (content, data, knowledge).
February 11th
Digital curation is a complex time and knowledge intensive process, in which knowledge workers create new content artifacts and knowledge insights from heterogeneous sources (content, data, knowledge).
The work required for this includes, e.g., selecting, summarizing, scheduling, translating, localising, structuring, condensing, enriching, visualizing and explaining the various contents, taking into account the steadily growing speed, volume and number of sources such as online newspapers, news portals, social media, linked data, business information systems, IoT data streams etc. AI, in particular from the field of language and semantic knowledge technologies, are used to support these tasks and thereby accelerate and qualitatively improve them.
The Scientific Workshop provides an open forum for short presentations and discussions on a specific topic relevant to the use of digital curation technologies in application domains for, e.g., media, journalism, logistics, cultural heritage, health care and life sciences, energy, industry. Of particular relevance are papers that demonstrate the applied use of digital curation technologies and tools in domain-specific use cases and that bridge traditional boundaries between disciplines such as Artificial Intelligence and Semantic Web, data analytics and machine learning, information/content and knowledge management systems, information retrieval, knowledge discovery, and computational linguistics.
Jamie Schram, Christian Dirschl, Jessica Kent, Quentin Reul, Vincent Henderson and Harry Sabnani. Providing Actionable Insights for Jurisprudence Researchers
Sebastian Hellmann, Johannes Frey, Marvin Hofer, Milan Dojchinovski, Krzysztof Wecel and Włodzimierz Lewoniewski. Towards a Systematic Approach to Sync Factual Data across Wikipedia, Wikidata and External Data Sources
Tabea Tietz, Oleksandra Bruns, Sandra Göller, Matthias Razum, Danilo Dessì and Harald Sack. Knowledge Graph enabled Curation and Exploration of Nuremberg's City Heritage
Darya Martyniuk, Michael Falkenthal, Naouel Karam, Adrian Paschke and Karoline Wild. An Analysis of Ontological Entities to represent Knowledge on Quantum Computing Algorithms and Implementations
Andrea Lösch, Valérie Mapelli, Khalid Choukri, Maria Giagkou, Stelios Piperidis, Prokopis Prokopidis, Vassilis Papavasiliou, Miltos Deligiannis, Aivars Berzins, Andrejs Vasiljevs, Eileen Schnur, Thierry Declerck and Josef van Genabith. Collection and Curation of Language Data within the European Language Resource Coordination (ELRC
Lorena Etcheverry, Leopoldo Agorio, Virginia Bacigalupe, Sofía Barreiro, Elena Bing, Samuel Blixen, Daniel Calegari, Lautaro Cardozo, Fernando Carpani, Felipe Chavat, Diego Garat, Alvaro Gomez, Fabián Hernández, Victor Marabotto, Guillermo Moncecchi, Ignacio Ramírez, Aiala Rosá, Jorge Tiscornia, Dina Wonsever, Gregory Randall, Guillermo Zorron, Lia Rivero, Nilo Patiño, Javier Stabile, Ernesto Fernandez, Federico Fioritto and Rodrigo Laguna. A computational framework for the analysis of the Uruguayan dictatorship archives
Pia Linscheid, Peter Bourgonje and Georg Rehm. Parsing Discourse Structures for Semantic Storytelling: Evaluating an efficient RST Parser
Peter Bourgonje, Karolina Zaczynska, Julián Moreno Schneider, Georg Rehm, Zdenka Uresova and Jan Haijc. SynSemClass for German: Extending a Multilingual Verb Lexicon
Jelena Sarajlić, Gaurish Thakkar, Diego Fernando Válio Antunes Alves and Nives Mikelic Preradovic. Quotations, Coreference Resolution, andSentiment Annotations in Croatian NewsArticles: An Exploratory Study
Lucie-Aimée Kaffee, University of Southampton
Program Committee Chair