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Web 2.0 — the perceived second generation of the World Wide Web that aims to improve collaboration, sharing of information and interoperability — enables increasing access to digital collections of museums. The expectation is that more and more people will spend time preparing their visit before actually visiting the museum and look for related information(More)
This article presents the CHIP demonstrator 5 for providing personalized access to digital museum collections. It consists of three main components: Art Recommender, Tour Wizard, and Mobile Tour Guide. Based on the semantically-enriched Rijksmuseum Amsterdam 6 collection, we show how Semantic Web technologies can be deployed to (partially) solve three(More)
Web 2.0 enables increased access to the museum digital collection. More and more, users will spend time preparing their visits to the museums and reflecting on them after the visits. In this context, the CHIP (Cultural Heritage Information Personalization) project offers tools to the users to be their own curator, e.g. planning a personalized museum tour,(More)
This paper presents research in the context of two multidisciplinary projects aimed at facilitating the history domain with an automatic approach for event extraction and modelling. To realise this, the Semantics of History project is providing a historical ontology and a lexicon to support the detection of historical events in textual data whilst the Agora(More)
In this paper we present the CHIP demonstrator aimed at helping users to explore the Rijksmuseum Amsterdam collection both online and inside the museum. Cultural heritage data from various external sources is integrated to provide an enriched semantic knowledge structure. The resulting RDF/OWL graph is the basis for CHIP main functionality for(More)
Preface Users and organizations collect data in various structured and unstructured digital formats, but they cannot fully utilize these data to support content and resource management process. It is evident that the analysis and interpretation of the available data needs to be automated, in order for large data volumes to be transformed into operational(More)
This paper discusses recommending and presenting informative topics based on user ratings of objects. This mapping between and integrated presentation of ratable and informative components accelerates access to unfamiliar domains. We apply this to our example domain of museum collections by having users rate artefacts and then receive recommendations of(More)
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