Presentation
Improving Link Specifications using Context-Aware Information
Author/s | Cimmino Arriaga, Andrea Jesús
Rivero, Carlos R. Ruiz Cortés, David |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Publication Date | 2016 |
Deposit Date | 2017-11-27 |
Published in |
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ISBN/ISSN | 1613-0073 |
Abstract | There is an increasing interest in publishing data using the
Linked Open Data philosophy. To link the RDF datasets,
a link discovery task is performed to generate owl:sameAs
links. There are two ways to perform this ... There is an increasing interest in publishing data using the Linked Open Data philosophy. To link the RDF datasets, a link discovery task is performed to generate owl:sameAs links. There are two ways to perform this task: by means of a classi er or a link speci cation; we focus in the latter approach. Current link speci cation techniques only use the data properties of the instances that they are linking, and they do not take the context information into account. In this paper, we present a proposal that aims to generate context-aware link speci cations to improve the regular link speci cations, increasing the e ectiveness of the results in several real-world scenarios where the context is crucial. Our context-aware link speci cations are independent from similarity functions, transformations or aggregations. We have evaluated our proposal using two real-world scenarios in which we improve precision and recall with respect to regular link speci cations in 23% and 58%, respectively. |
Funding agencies | Ministerio de Economía y Competitividad (MINECO). España |
Project ID. | TIN2013-40848-R |
Citation | Cimmino Arriaga, A.J., Rivero, C.R. y Ruiz Cortés, D. (2016). Improving Link Specifications using Context-Aware Information. En LDOW 2016: WWW2016 Workshop on Linked Data on the Web Montreal, Canada: CEUR-WS. |
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Improving Link Specifications.pdf | 351.4Kb | [PDF] | View/ | |