A Method for Converting Thesauri to RDF/OWL

Assem, Mark van; Menken, Maarten; Schreiber, Guus; Wielemaker, Jan; Wielinga, B.J.

doi:10.1007/978-3-540-30475-3_3

Cited by 63 publications

(44 citation statements)

References 5 publications

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“…To address this problem we have focussed on enriching the ARIA database with shared vocabularies. For this, the E-culture project provided the RDF/OWL representation using three Getty vocabularies 13 (ULAN, AAT, TGN) [15] and the CATCH STITCH project produced mappings to Iconclass thesaurus 14 [2]. We also use SKOS Core 15 , created for the purpose of linking thesauri to each other.…”

Section: Metadata Vocabulariesmentioning

confidence: 99%

Recommendations based on semantically enriched museum collections

Wang

Stash

Aroyo

et al. 2008

Journal of Web Semantics

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a b s t r a c tThis article presents the CHIP demonstrator 1 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 2 collection, we show how Semantic Web technologies can be deployed to (partially) solve three important challenges for recommender systems applied in an open Web context: (1) to deal with the complexity of various types of relationships for recommendation inferencing, where we take a content-based approach to recommend both artworks and art-history topics; (2) to cope with the typical user modeling problems, such as cold-start for first-time users, sparsity in terms of user ratings, and the efficiency of user feedback collection; and (3) to support the presentation of recommendations by combining different views like a historical timeline, museum map and faceted browser. Following a user-centered design cycle, we have performed two evaluations with users to test the effectiveness of the recommendation strategy and to compare the different ways for building an optimal user profile for efficient recommendations. The CHIP demonstrator received the Semantic Web Challenge Award (third prize) in 2007, Busan, Korea.

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Section: Metadata Vocabulariesmentioning

confidence: 99%

Recommendations based on semantically enriched museum collections

Wang

Stash

Aroyo

et al. 2008

Journal of Web Semantics

Self Cite

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“…In our approach we use therefore a thesaurus. Based on [25], we use the following relations: Generalization (Broader Term, hypernym, inverse of Specialization), Specialization (Narrower Term, hyponym, inverse of Generalization), Similar (Related Term, holds between synonyms and near-synonyms, symmetric), and Opposite (antonym, between two different words of opposite meaning, symmetric) 6 .…”

Section: Thesaurusmentioning

confidence: 99%

Automatic generation of matter-of-opinion video documentaries

Bocconi

Nack

Hardman

2008

Journal of Web Semantics

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In this paper we describe a model for automatically generating video documentaries. This allows viewers to specify the subject and the point of view of the documentary to be generated. The domain is matter-of-opinion documentaries based on interviews. The model combines rhetorical presentation patterns used by documentary makers with a data-driven approach. Rhetorical presentation patterns provide the viewer with an engaging viewing experience, while a data-driven approach can be applied to growing media repositories. To date, the modeling of rhetoric has been achieved in a top-down manner using closed repositories, while data-driven generation approaches were unable to implement non-trivial rhetorical presentation patterns. We describe an implementation of our model in a system, Vox Populi, and apply it to an online documentary shot by a group of independent amateur documentarists.

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“…The Getty thesauri were converted from their original XML format into an RDF/OWL representation using the conversion methods principles as formulated in [3]. The RDF/OWL version of the data models is available online 9 .…”

Section: Vocabulariesmentioning

confidence: 99%