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- Paper.136_Review.0 type ReviewVersion.
- Paper.136_Review.0 issued "2001-01-29T20:37:00.000Z".
- Paper.136_Review.0 creator Paper.136_Review.0_Reviewer.
- Paper.136_Review.0 hasRating ReviewRating.2.
- Paper.136_Review.0 hasReviewerConfidence ReviewerConfidence.3.
- Paper.136_Review.0 reviews Paper.136.
- Paper.136_Review.0 issuedAt easychair.org.
- Paper.136_Review.0 issuedFor Conference.
- Paper.136_Review.0 releasedBy Conference.
- Paper.136_Review.0 hasContent "This paper presents a system StreamPipes Connect which targets domain experts to facilitate the process of connecting new Industrial IOT time series data sources and harmonize data at the edge with an intuitive GUI. The system uses a master/worker paradigm where master manages and controls all distributed workers (containers) at the edge for pre-processing data. The proposed system is evaluated by a user study with respect to its usability and user experience, and its performance. Results show that the system provides good usability for non-technical users (domain experts) and good user experience. Overall, the paper is well structured and easy to read. Some questions and comments --------------------------- - Section 3: Which triple store does the system use and is there specific reasons or benefits of choosing that one? - Section 6.3: It would be better to make it clear that whether the usage is StreamPipes including the StreamPipes Connect proposed in this paper or not. If I understand correctly, the usage of the StreamPipes Connect alone is difficult to measure since it is distributed as part of the StreamPipes? - It would be great to discuss and share some of the challenges or lessons learned associated with the use of semantic technologies for the system. Minor things --------------------------- - Section 4.3 (P8): url for qudt ontology should be here instead of P11 - Section 5.3 (P11): Users able to refine - Section 6.2 (P14): all with a different lengths After rebuttal --------------------------- Thank you for the authors clarifying the comments. I think the work is a good fit for the in-use track for sharing the experience of building practical tools using semantic technologies."".