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  • × year_i:[2010 TO 2020}
  • × author_ss:"Isaac, A."
  1. Hennicke, S.; Olensky, M.; Boer, V. de; Isaac, A.; Wielemaker, J.: ¬A data model for cross-domain data representation : the "Europeana Data Model" in the case of archival and museum data (2010) 0.01 
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  2. Boer, V. de; Wielemaker, J.; Gent, J. van; Hildebrand, M.; Isaac, A.; Ossenbruggen, J. van; Schreiber, G.: Supporting linked data production for cultural heritage institutes : the Amsterdam Museum case study (2012) 0.01 
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  3. Wallis, R.; Isaac, A.; Charles, V.; Manguinhas, H.: Recommendations for the application of Schema.org to aggregated cultural heritage metadata to increase relevance and visibility to search engines : the case of Europeana (2017) 0.01 
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  4. Isaac, A.; Baker, T.: Linked data practice at different levels of semantic precision : the perspective of libraries, archives and museums (2015) 0.00 
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    Abstract
    Libraries, archives and museums rely on structured schemas and vocabularies to indicate classes in which a resource may belong. In the context of linked data, key organizational components are the RDF data model, element schemas and value vocabularies, with simple ontologies having minimally defined classes and properties in order to facilitate reuse and interoperability. Simplicity over formal semantics is a tenet of the open-world assumption underlying ontology languages central to the Semantic Web, but the result is a lack of constraints, data quality checks and validation capacity. Inconsistent use of vocabularies and ontologies that do not follow formal semantics rules and logical concept hierarchies further complicate the use of Semantic Web technologies. The Simple Knowledge Organization System (SKOS) helps make existing value vocabularies available in the linked data environment, but it exchanges precision for simplicity. Incompatibilities between simple organized vocabularies, Resource Description Framework Schemas and OWL ontologies and even basic notions of subjects and concepts prevent smooth translations and challenge the conversion of cultural institutions' unique legacy vocabularies for linked data. Adopting the linked data vision requires accepting loose semantic interpretations. To avoid semantic inconsistencies and illogical results, cultural organizations following the linked data path must be careful to choose the level of semantics that best suits their domain and needs.
  5. Manguinhas, H.; Charles, V.; Isaac, A.; Miles, T.; Lima, A.; Neroulidis, A.; Ginouves, V.; Atsidis, D.; Hildebrand, M.; Brinkerink, M.; Gordea, S.: Linking subject labels in cultural heritage metadata to MIMO vocabulary using CultuurLink (2016) 0.00 
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    Source
    Proceedings of the 15th European Networked Knowledge Organization Systems Workshop (NKOS 2016) co-located with the 20th International Conference on Theory and Practice of Digital Libraries 2016 (TPDL 2016), Hannover, Germany, September 9, 2016. Edi. by Philipp Mayr et al. [http://ceur-ws.org/Vol-1676/=urn:nbn:de:0074-1676-5]
  6. Wang, S.; Isaac, A.; Schlobach, S.; Meij, L. van der; Schopman, B.: Instance-based semantic interoperability in the cultural heritage (2012) 0.00 
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    Content
    Beitrag eines Schwerpunktthemas: Semantic Web and Reasoning for Cultural Heritage and Digital Libraries: http://www.semantic-web-journal.net/content/instance-based-semantic-interoperability-cultural-heritage http://www.semantic-web-journal.net/sites/default/files/swj157_1.pdf.

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