Search results for "Linked Open Data"
showing 3 items of 3 documents
LOD.CS.UNIPA Project: an experience of LOD at the University of Palermo
2012
This paper describes the LOD.CS.UNI.PA Project and its main goal, the transformation process of data already available on the web site of the Computer Science curricula web site at the University of Palermo into data ready to be connected to the LOD. Since 1997 information about bachelor and master degrees in Computer Science at the University of Palermo has been published on the web, and provides a reference point for students, teachers and researchers who have easy access to the information they require. However, the users of the web are now changing; data cannot be published only for human comprehension but intelligent devices also need access to web data and above all they need to under…
Integración de una base de datos de procedencias en el entorno MARC y de datos enlazados: el caso de la Biblioteca Nacional de España
2022
En este artículo se presenta, a grandes rasgos, el trabajo llevado a cabo durante los últimos años en la Biblioteca Nacional de España, para normalizar e integrar la información de antiguos poseedores en su catálogo automatizado, adaptando la información de procedencias al formato MARC, y desde ahí, darle salida a través del ecosistema de datos enlazados de la biblioteca, a un entorno más dinámico que permite ofrecer un buscador especializado en el portal datos.bne.es
Biased graph walks for RDF graph embeddings
2017
Knowledge Graphs have been recognized as a valuable source for background information in many data mining, information retrieval, natural language processing, and knowledge extraction tasks. However, obtaining a suitable feature vector representation from RDF graphs is a challenging task. In this paper, we extend the RDF2Vec approach, which leverages language modeling techniques for unsupervised feature extraction from sequences of entities. We generate sequences by exploiting local information from graph substructures, harvested by graph walks, and learn latent numerical representations of entities in RDF graphs. We extend the way we compute feature vector representations by comparing twel…