Linked Open Data Validity -- A Technical Report from ISWS 2018
Abstract
Linked Open Data (LOD) is the publicly available RDF data in the Web. Each LOD entity is identfied by a URI and accessible via HTTP. LOD encodes globalscale knowledge potentially available to any human as well as artificial intelligence that may want to benefit from it as background knowledge for supporting their tasks. LOD has emerged as the backbone of applications in diverse fields such as Natural Language Processing, Information Retrieval, Computer Vision, Speech Recognition, and many more. Nevertheless, regardless of the specific tasks that LOD-based tools aim to address, the reuse of such knowledge may be challenging for diverse reasons, e.g. semantic heterogeneity, provenance, and data quality. As aptly stated by Heath et al. Linked Data might be outdated, imprecise, or simply wrong": there arouses a necessity to investigate the problem of linked data validity. This work reports a collaborative effort performed by nine teams of students, guided by an equal number of senior researchers, attending the International Semantic Web Research School (ISWS 2018) towards addressing such investigation from different perspectives coupled with different approaches to tackle the issue.
Cite
@article{arxiv.1903.12554,
title = {Linked Open Data Validity -- A Technical Report from ISWS 2018},
author = {Tayeb Abderrahmani Ghor and Esha Agrawal and Mehwish Alam and Omar Alqawasmeh and Claudia D'amato and Amina Annane and Amr Azzam and Andrew Berezovskyi and Russa Biswas and Mathias Bonduel and Quentin Brabant and Cristina-iulia Bucur and Elena Camossi and Valentina Anita Carriero and Shruthi Chari and David Chaves Fraga and Fiorela Ciroku and Michael Cochez and Hubert Curien and Vincenzo Cutrona and Rahma Dandan and Danilo Dess and Valerio Di Carlo and Ahmed El Amine Djebri and Marieke Van Erp and Faiq Miftakhul Falakh and Alba Fernndez Izquierdo and Giuseppe Futia and Aldo Gangemi and Simone Gasperoni and Arnaud Grall and Lars Heling and Pierre Henri and Noura Herradi and Subhi Issa and Samaneh Jozashoori and Nyoman Juniarta and Lucie-aime Kaffee and Ilkcan Keles and Prashant Khare and Viktor Kovtun and Valentina Leone and Siying Li and Sven Lieber and Pasquale Lisena and Tatiana Makhalova and Ludovica Marinucci and Thomas Minier and Benjamin Moreau and Alberto Moya Loustaunau and Durgesh Nandini and Sylwia Ozdowska and Amanda Pacini De Moura and Swati Padhee and Guillermo Palma and Pedro Del Pozo Jimnez and Valentina Presutti and Roberto Reda and Ettore Rizza and Henry Rosales-mndez and Sebastian Rudolph and Harald Sack and Luca Sciullo and Humasak Simanjuntak and Carlo Stomeo and Thiviyan Thanapalasingam and Tabea Tietz and Dalia Varanka and Maria-esther Vidal and Michael Wolowyk and Maximilian Zocholl},
journal= {arXiv preprint arXiv:1903.12554},
year = {2019}
}