Chris Dijkshoorn

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Sports events data is often compiled manually by companies who rarely make it available for free to third parties. However, social media provide us with large amounts of data that discuss these very same matches for free. In this study, we investigate to what extent we can accurately extract sports data from tweets talking about soccer matches. We collected(More)
In this position paper we identify nichesourcing, a specific form of human-based computation that harnesses the computational efforts from niche groups rather than the “faceless crowd”. We claim that nichesourcing combine the strengths of the crowd with those of professionals, optimizing the result of human-based computation for certain tasks. We illustrate(More)
Diversity and profundity of the topics in cultural heritage collections make experts from outside the institution indispensable for acquiring qualitative and comprehensive annotations. We define the concept of nichesourcing and present challenges in the process of obtaining qualitative annotations from people in these niches. We believe that experts provide(More)
In this study we consider wether, and to what extent, additional semantics in the form of Linked Data can help diversifying search results. We undertake this study in the domain of cultural heritage. The data consists of collection data of the Rijksmuseum Amsterdam together with a number of relevant external vocabularies, which are all published as Linked(More)
Large datasets such as Cultural Heritage collections require detailed annotations when digitised and made available online. Annotating different aspects of such collections requires a variety of knowledge and expertise which is not always possessed by the collection curators. Artwork annotation is an example of a knowledge intensive image annotation task,(More)
Many cultural heritage institutions are confronted with a big challenge when it comes to adapting the process of registration, annotation and digitization of their collections to meet the new technological demands for providing their collections online with Web and mobile technologies. With limited funding and limited professional resources, annotation is(More)
The results of our exploratory study provide new insights to crowdsourcing knowledge intensive tasks. We designed and performed an annotation task on a print collection of the Rijksmuseum Amsterdam, involving experts and crowd workers in the domain-specific description of depicted flowers. We created a testbed to collect annotations from flower experts and(More)
The growing number of cultural heritage collections published as Linked Data has given rise to a vast source of collection objects to explore. To provide an experience which goes beyond traditional search, the links from objects to terms from structured vocabularies can be used to create new paths to explore. We present INVENiT, a semantic search system(More)