Cited By
View all- McDaniel MStorey V(2019)Evaluating Domain OntologiesACM Computing Surveys10.1145/332912452:4(1-44)Online publication date: 11-Sep-2019
A Domain-based Approach to Publish Data on the Web
Pages 344 - 345
Abstract
The Linked Data project defines a set of practices for publishing structured data on the Web. In order to apply the recommended practices and achieve this Web of Data vision, existing data provided in diverse formats should be converted to a standard model. Since these data are in nature heterogeneous, it is usually unfeasible to convert them without considering the knowledge domain in which they exist. In this light, we propose an approach, named SenseRDF, which makes use of a domain reference, made available by vocabularies and domain ontologies, to provide the semantics during the conversion of a dataset from one format to a standard RDF model. Also, we adopt a semi-automated technique, where a domain expert is required to assist the conversion process, which is incrementally enriched. We present the principles underlying our approach, some usage examples and the obtained experimental results.
References
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Index Terms
- A Domain-based Approach to Publish Data on the Web
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Published In
December 2013
753 pages
ISBN:9781450321136
DOI:10.1145/2539150
- Conference Chairs:
- Edger Weippl,
- Maria Indrawan-Santiago,
- Matthias Steinbauer,
- Gabriele Kotsis,
- Ismail Khalil
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- @WAS: International Organization of Information Integration and Web-based Applications and Services
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 02 December 2013
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IIWAS '13
IIWAS '13: The 15th International Conference on Information Integration and Web-based Applications & Services
December 2 - 4, 2013
Vienna, Austria
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View all- McDaniel MStorey V(2019)Evaluating Domain OntologiesACM Computing Surveys10.1145/332912452:4(1-44)Online publication date: 11-Sep-2019
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