IMGpedia: A Linked Dataset with Content-Based Analysis of Wikimedia Images

被引：47

作者：

Ferrada, Sebastian ^{[1
]}

Bustos, Benjamin ^{[1
]}

Hogan, Aidan ^{[1
]}

机构：

[1] Univ Chile, Dept Comp Sci, Ctr Semant Web Res, Santiago, Chile

来源：

SEMANTIC WEB - ISWC 2017, PT II | 2017年 / 10588卷

关键词：

D O I：

10.1007/978-3-319-68204-4_8

中图分类号：

TP18 [人工智能理论];

学科分类号：

140502 [人工智能];

摘要：

IMGpedia is a large-scale linked dataset that incorporates visual information of the images from the Wikimedia Commons dataset: it brings together descriptors of the visual content of 15 million images, 450 million visual-similarity relations between those images, links to image metadata from DBpedia Commons, and links to the DBpedia resources associated with individual images. In this paper we describe the creation of the IMGpedia dataset, provide an overview of its schema and statistics of its contents, offer example queries that combine semantic and visual information of images, and discuss other envisaged use-cases for the dataset.

引用

页码：84 / 93

页数：10

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