2.1 KiB
2.1 KiB
type:: REVIEWS
tags::
year:: 2023
venue:: KARS-WS
full-title:: Knowledge Graph Datasets for Recommendation
date-start:: 21-08-2023 - 18:38
date-submitted::
external-links::
status:: DONE
deadline-submission:: 26-08-2023
file::
- [[Highlights]]
- #+BEGIN_IMPORTANT
((64ecc678-99cb-44b0-98e3-98b69d3ff8b3))
#+END_IMPORTANT
- ((64ec62eb-0601-45cb-97b7-b80f79dce40f))
- It's not clear to me how the reproducibility issues and related problems about mismatch of retrieved triples have been solved by the authors with this paper.
- ((64ec633a-5274-4166-94e2-c8d5bca747df))
- It this the main goal/contribution of the paper?
- ((64ec636a-1ddd-4858-97df-096a2d682014))
- So, it's a new dataset, what's the novelty with respect to the mismatch issues mentioned above?
- ((64ec63ee-0096-49e3-96db-6ec160582571))
- Is the linking procedure part of the contribution of this paper?
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- [[Comments]]
- This paper presents the outcomes of the authors' efforts in establishing connections among items from three distinct datasets: Wikidata, DBpedia, and Freebase KGs. Beyond providing accessible linked knowledge graphs online, the paper outlines the methodology employed for item linkage.
- The paper tackles an interesting subject, and, on the whole, it is well-written and structured. However, a notable consideration revolves around the limited discourse regarding the applicability of the proposed linking methodology. Specifically, the conditions necessary for successfully applying this methodology to datasets beyond those examined in this study deserve deeper exploration. Expanding the paper's scope to encompass illustrative use cases that can derive advantages from the resultant knowledge graphs would enhance its comprehensiveness.
Furthermore, the authors advocate augmenting the datasets with information from diverse domains. In light of this, a comprehensive overview of the requisite process for pursuing such enrichment becomes essential for readers seeking to replicate or build upon the authors' work.
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