Where is My URI?

• Published in: The Semantic Web Vol. 10843; pp. 671 - 681
• Main Authors: Valdestilhas, Andre, Soru, Tommaso, Nentwig, Markus, Marx, Edgard, Saleem, Muhammad, Ngomo, Axel-Cyrille Ngonga
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2018; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Dereferencing; Endpoints; Link discovery; Linked data; URI
• ISBN: 9783319934167; 3319934163
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-93417-4_43

One of the Semantic Web foundations is the possibility to dereference URIs to let applications negotiate their semantic content. However, this exploitation is often infeasible as the availability of such information depends on the reliability of networks, services, and human factors. Moreover, it has been shown that around 90% of the information published as Linked Open Data is available as data dumps and more than 60% of endpoints are offline. To this end, we propose a Web service called Where is my URI?. Our service aims at indexing URIs and their use in order to let Linked Data consumers find the respective RDF data source, in case such information cannot be retrieved from the URI alone. We rank the corresponding datasets by following the rationale upon which a dataset contributes to the definition of a URI proportionally to the number of literals. We finally describe potential use-cases of applications that can immediately benefit from our simple yet useful service.