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| Título: | Dataset Dynamics Compendium: A Comparative Study |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | First International Workshop on Consuming Linked Data (COLD2010) |
| Fechas del Evento: | 08 November 2010 |
| Lugar del Evento: | Pekin, China |
| Título del Libro: | Proceedings of the First International Workshop on Consuming Linked Data (COLD2010) |
| Fecha: | 2010 |
| ISBN: | 1613-0073 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | oeg |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Grupo Investigación UPM: | Ontology Engineering Group – OEG |
| Licencias Creative Commons: | Ninguna |
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At the time of writing there exists no consensus about the approaches to detect, propagate and describe changes in resources and datasets of the Linked Open Data Web. This survey gives a comprehensive overview of the current technical solutions and a comparison of such based requirements we derived from use cases the community came up with. We give a detailed overview about the aspects of discovery, granularity level, and description of the changes, as well as the detection algorithms and notication mechanisms. Moreover, we present a high-level dataset dynamics stack that integrates the current technical solutions for dealing with changes in datasets of the Web of Data.
| ID de Registro: | 6632 |
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| Identificador DC: | https://oa.upm.es/6632/ |
| Identificador OAI: | oai:oa.upm.es:6632 |
| Depositado por: | Dr Oscar Corcho |
| Depositado el: | 10 Abr 2011 05:58 |
| Ultima Modificación: | 02 Jul 2025 07:54 |
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