Searching Linked Data with a Twist of Serendipity

被引：3

作者：

Eichler, Jeronimo S. A. ^{[1
]}

Casanova, Marco A. ^{[1
]}

Furtado, Antonio L. ^{[1
]}

Ruback, Livia ^{[1
]}

Paes Leme, Luiz Andre P. ^{[2
]}

Lopes, Giseli Rabello ^{[3
]}

Nunes, Bernardo Pereira ^{[1
,6
]}

Raffaeta, Alessandra ^{[4
]}

Renso, Chiara ^{[5
]}

机构：

[1] Pontifical Catholic Univ Rio Janeiro, Dept Informat, Rio De Janeiro, RJ, Brazil

[2] Fluminense Fed Univ, Niteroi, RJ, Brazil

[3] Univ Fed Rio de Janeiro, Rio De Janeiro, RJ, Brazil

[4] Univ Ca Foscari, Venice, Italy

[5] CNR, ISTI, Pisa, Italy

[6] Fed Univ State Rio de Janeiro, Rio De Janeiro, RJ, Brazil

来源：

ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2017) | 2017年 / 10253卷

关键词：

Serendipity; Linked data; Information retrieval;

D O I：

10.1007/978-3-319-59536-8_31

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Serendipity is defined as the discovery of a thing when one is not searching for it. In other words, serendipity means the discovery of information that provides valuable insights by unveiling previously unknown knowledge. This paper focuses on the problem of Linked Data serendipitous search. It first discusses how to capture a set of serendipity patterns in the context of Linked Data. Then, the paper introduces a Linked Data serendipitous search application, called the Serendipity Over Linked Data Search tool - SOL-Tool. Finally, the paper describes experiments with the tool to illustrate the serendipity effect using DBpedia. The experimental results present a promissory score of 90% of unexpectedness for real-world scenarios in the music domain.

引用

页码：495 / 510

页数：16

共 20 条

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