Matches in ESWC 2020 for { ?s ?p Thanks for your replies, which just reinforce my positive impression of this work. ----------------------------- SUMMARY: This paper proposes a meta-dataset for a very large set of owl:sameAs links in combination with a previously published error metric for such links and a previously published large LOD Cloud subset, LOD-a-lot. This combination enables applications to decide whether to follow explicit and implicit identity links. In addition to a number of highly important requirements for such an approach, the paper provides a number of interesting use cases for the utility and utilization of the proposed dataset with error metric. The paper is extremely well written in terms of content, line of argumentation, evaluation and discussion of related work, as well as style of presentation. Furthermore, the suggested approach might grant LOD applications/the reuse of LOD resources a new level of reliability and provides a vitally needed alternative to simply defining semantically less expressive equivalence or similarity relations in the LOD. Even though such approaches already exist, as the authors point out, the presented solution is easy to reuse, adapt to specific needs, and widely applicable. Questions to authors: - Could you maybe define/exemplify the notion of community in 3.3? Might be nice to briefly mention it - On p. 9, what does "which ever comes lexicographically first/last" mean? MINOR COMMENTS (in order of appearance): 7. Low-cost. Since it it => Since it is Raad et al. 2018 [18] => Raad et al. [18] Table 4.1. => Table 1 p.11 => encoding of fb:m.05b6w1g seems strange Buistra et al. 2011 [3] => Buistra et al. [3] Lopez et al. 2013 [13] => Lopez et al. [13] cannot be more trustworthy that either => than error degree of error => error degree two categories of approach => approaches". }
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- Paper.230_Review.0 hasContent "Thanks for your replies, which just reinforce my positive impression of this work. ----------------------------- SUMMARY: This paper proposes a meta-dataset for a very large set of owl:sameAs links in combination with a previously published error metric for such links and a previously published large LOD Cloud subset, LOD-a-lot. This combination enables applications to decide whether to follow explicit and implicit identity links. In addition to a number of highly important requirements for such an approach, the paper provides a number of interesting use cases for the utility and utilization of the proposed dataset with error metric. The paper is extremely well written in terms of content, line of argumentation, evaluation and discussion of related work, as well as style of presentation. Furthermore, the suggested approach might grant LOD applications/the reuse of LOD resources a new level of reliability and provides a vitally needed alternative to simply defining semantically less expressive equivalence or similarity relations in the LOD. Even though such approaches already exist, as the authors point out, the presented solution is easy to reuse, adapt to specific needs, and widely applicable. Questions to authors: - Could you maybe define/exemplify the notion of community in 3.3? Might be nice to briefly mention it - On p. 9, what does "which ever comes lexicographically first/last" mean? MINOR COMMENTS (in order of appearance): 7. Low-cost. Since it it => Since it is Raad et al. 2018 [18] => Raad et al. [18] Table 4.1. => Table 1 p.11 => encoding of fb:m.05b6w1g seems strange Buistra et al. 2011 [3] => Buistra et al. [3] Lopez et al. 2013 [13] => Lopez et al. [13] cannot be more trustworthy that either => than error degree of error => error degree two categories of approach => approaches"".