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This paper investigates Twitter usage in scientific contexts, particularly the use of Twitter during scientific conferences. It proposes a methodology for capturing and analyzing citations/references in Twitter. First results are presented based on the analysis of tweets gathered for two conference hashtags.
Cultural heritage information systems offer access to objects coming from museums, archives and libraries. To enhance retrieval performance and access across languages, metadata is enriched with controlled vocabularies or other datasets with structured information. During this process many pitfalls occur which lead to wrong or poor en-richments thus… (More)
In the following study, we analyze the usage of Twitter during four scientific conferences with focus on humanities and computer science. Automated analyses of tweets, retweets and @-messages were performed as well as an intellectual analysis of the tweets' contents.
The following article provides an overview of possible ways to integrate external vocabulary during the ontology construction process. Arising ambiguities as well as advantages and disadvantages of modelling strategies are discussed based on practical examples.
The DM2E dataset is a five-star dataset providing metadata and links for direct access to digitized content from various cultural heritage institutions across Europe. The data model is a true specialization of the Europeana Data Model and reflects specific requirements from the domain of manuscripts and old prints, as well as from developers who want to… (More)