Assessing trust with PageRank in the Web of Data

Abstract : While a number of quality metrics have been successfully proposed for datasets in the Web of Data, there is a lack of trust metrics that can be computed for any given dataset. We argue that reuse of data can be seen as an act of trust. In the Semantic Web environment, datasets regularly include terms from other sources, and each of these connections express a degree of trust on that source. However, determining what is a dataset in this context is not straightforward. We study the concepts of dataset and dataset link, to finally use the concept of Pay-Level Domain to differentiate datasets, and consider usage of external terms as connections among them. Using these connections we compute the PageRank value for each dataset, and examine the influence of ignoring predicates for computation. This process has been performed for more than 300 datasets, extracted from the LOD Laundromat. The results show that reuse of a dataset is not correlated with its size, and provide some insight on the limitations of the approach and ways to improve its efficacy.
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Communication dans un congrès
Auer S.,Lange C.,Mladenic D.,Rizzo G.,Steinmetz N.,Sack H. 13th International Conference on Semantic Web, ESWC 2016, May 2016, Heraklion, Greece. 9989 pp 293-307, 2016, Lecture Notes in Computer Science 〈10.1007/978-3-319-47602-5_45〉
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https://hal-emse.ccsd.cnrs.fr/emse-01438838
Contributeur : Florent Breuil <>
Soumis le : mercredi 18 janvier 2017 - 10:44:58
Dernière modification le : mardi 17 octobre 2017 - 01:08:24

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José-M. Giménez-Garcıa, Harsh Thakkar, Antoine Zimmermann. Assessing trust with PageRank in the Web of Data. Auer S.,Lange C.,Mladenic D.,Rizzo G.,Steinmetz N.,Sack H. 13th International Conference on Semantic Web, ESWC 2016, May 2016, Heraklion, Greece. 9989 pp 293-307, 2016, Lecture Notes in Computer Science 〈10.1007/978-3-319-47602-5_45〉. 〈emse-01438838〉

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