COALA - Correlation-Aware Active Learning of Link Specifications

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{DBLP:conf/esws/NgomoLC13,

• author = "Axel-Cyrille {Ngonga Ngomo} and Klaus Lyko and Victor Christen",
• title = "{COALA} - Correlation-Aware Active Learning of Link Specifications",
• booktitle = "Proceedings of the 10th European Semantic Web Conference: Semantics and Big Data, ESWC 2013",
• year = "2013",
• volume = "7882",
• series = "LNCS",
• pages = "442--456",
• address = "Montpellier, France",
• month = may # " 26-30",
• keywords = "genetic algorithms, genetic programming, Active Learning, Link Discovery",
• URL = "https://doi.org/10.1007/978-3-642-38288-8_30",
• DOI = "doi:10.1007/978-3-642-38288-8_30",
• timestamp = "Tue, 26 Jun 2018 14:12:58 +0200",
• biburl = "https://dblp.org/rec/bib/conf/esws/NgomoLC13",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• abstract = "Link Discovery plays a central role in the creation of knowledge bases that abide by the five Linked Data principles. Over the last years, several active learning approaches have been developed and used to facilitate the supervised learning of link specifications. Yet so far, these approaches have not taken the correlation between unlabelled examples into account when requiring labels from their user. In this paper, we address exactly this drawback by presenting the concept of the correlation-aware active learning of link specifications. We then present two generic approaches that implement this concept. The first approach is based on graph clustering and can make use of intra-class correlation. The second relies on the activation-spreading paradigm and can make use of both intra- and inter-class correlations. We evaluate the accuracy of these approaches and compare them against a state-of-the-art link specification learning approach in ten different settings. Our results show that our approaches outperform the state of the art by leading to specifications with higher F-scores.",

}

Genetic Programming entries for Axel-Cyrille Ngonga Ngomo Klaus Lyko Victor Christen

Citations