Título de la tesis:

Autor/es:

Umbrich, J. - Villazón-Terrazas, B. - Hausenblas, M.

Tipo de documento:

Ponencia en Congreso o Jornada (Artículo)

Universidad:

Facultad de Informática (UPM)

Departamento:

Inteligencia Artificial

Idioma:

Palabras clave:

oeg

Fecha de la defensa:

2010-01-01

Notas:

Resumen: 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 curren...

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