SSONDE: Semantic Similarity On liNked Data Entities

Albertoni, Riccardo (2012). SSONDE: Semantic Similarity On liNked Data Entities. Monografía (Manual). Facultad de Informática (UPM) [antigua denominación], Madrid, Spain.

Descripción

Título: SSONDE: Semantic Similarity On liNked Data Entities
Autor/es:
  • Albertoni, Riccardo
Tipo de Documento: Monográfico (Informes, Documentos de trabajo, etc.) (Manual)
Título de Revista/Publicación: Proceedings of Metadata and Semantics Research Communications in Computer and Information Science 2012 (MTSR)
Fecha: Noviembre 2012
Volumen: null
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Linked data offers a promising setting to encode, publish and share metadata of resources. As the matter of fact, it is already adopted by data producers such as European Environment Agency, US and some EU Governs, whose first ambition is to share (meta)data making their processes more effective and transparent. Such as an increasing interest and involvement of data providers surely represents a genuine witness of the web of data success, but in a longer perspective, frameworks supporting linked data consumers in their decision making processes will be a compelling need. In this respect, the talk is introducing SSONDE, a framework enabling in detailed comparison, ranking and selection of linked data resources through the analysis of their RDF ontology driven metadata. SSONDE implements an instance similarity especially designed to support in resource selection, namely the process stakeholders engage to choose a set of resources suitable for a given analysis purpose: (i) it deploys an asymmetric similarity assessment to emphasize information about gains and losses the stakeholders get adopting a resource in place of another; (ii) it relies on an explicit formalization of contexts to tailor the similarity assessment with respect to specific user-defined selection goals. The talk aims at providing an insight on SSONDE instance similarity and it will briefly describe some examples of SSONDE deployment in the context of linked data consumption.

Más información

ID de Registro: 15930
Identificador DC: http://oa.upm.es/15930/
Identificador OAI: oai:oa.upm.es:15930
URL Oficial: http://www.slideshare.net/RiccardoAlbertoni
Depositado por: Memoria Investigacion
Depositado el: 26 Jun 2013 13:40
Ultima Modificación: 21 Abr 2016 16:15
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