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Abstract

Ontologies will play a central role in the development of the Semantic Web. It is unrealistic to assume that such ontologies will be developed from scratch. Rather, we assume that existing resources such as thesauri and lexical data bases will be reused in the development of ontologies for the Semantic Web. In this paper we describe a method for converting existing source material to a representation that is compatible with Semantic Web languages such as RDF(S) and OWL. The method is illustrated with three case studies: converting Wordnet, AAT and MeSH to RDF(S) and OWL.

Source

Proceedings of the First European Semantic Web Symposium (ESWS2004), Eds.: C. Bussler, J. Davies, D. Fensel and R. Studer. 2004. S.299-311

Theme

Semantic Web

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Abstract

Knowledge organization systems (KOS), such as vocabularies, thesauri and subject headings, contain a wealth of knowledge, collected by dedicated experts over long periods of time. these knowledge sources are potentially of high value to Web applications. To make this possible we need methods to publish these systems and subsequently clarify their relationships, also called "alignments'. In this talk Guus discusses methodological issues in publishing and aligning classification systems on the Web. With regards to publication of Web vocabularies he explains the basic principles for building a SKOS version of a vocabulary and illustrates this with examples. In particular, he discusses how one should prevent information loss, i.e. constructing a SKOS version that contains all information contained in the original vocabulary model. The talk also examines the role of RDF and OWL in this process. Web vocabularies derive much of their added value from the links they can provide to other vocabularies. He explains the process of vocabulary alignment, including the choice of alignment technique. Particular attention is paid to an evaluation of the process: how can one assess the quality of the resulting alignment? Human evaluators often play an important role in this process. Guus concludes by showing some examples of how aligned Web vocabularies can be used to create added value to applications.

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Abstract

Within the cultural heritage field, proprietary metadata and vocabularies are being transformed into public Linked Data. These efforts have mostly been at the level of large-scale aggregators such as Europeana where the original data is abstracted to a common format and schema. Although this approach ensures a level of consistency and interoperability, the richness of the original data is lost in the process. In this paper, we present a transparent and interactive methodology for ingesting, converting and linking cultural heritage metadata into Linked Data. The methodology is designed to maintain the richness and detail of the original metadata. We introduce the XMLRDF conversion tool and describe how it is integrated in the ClioPatria semantic web toolkit. The methodology and the tools have been validated by converting the Amsterdam Museum metadata to a Linked Data version. In this way, the Amsterdam Museum became the first 'small' cultural heritage institution with a node in the Linked Data cloud.

Source

9th Extended Semantic Web Conference (ESWC), 2012-05-27/2012-05-31 in Hersonissos, Crete, Greece. Eds.: Elena Simperl et al

Theme

Semantic Web

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Source

Proceedings of the 3rd International Semantic Web Conference (ISWC'04). Eds. D. Plexousakis and F. van Harmelen