This repository contains the dataset described in the paper:
Title: "Augmenting Scientific Creativity with an Analogical Search Engine"
Authors: Hyeonsu B Kang, Xin Qian, Tom Hope, Dafna Shahaf, Joel Chan, Aniket Kittur
Link: https://arxiv.org/abs/1902.10526
Accepted at the ACM Transactions on Computer-Human Interaction (TOCHI) journal.
If you use this dataset in your work, please cite our paper:
@article{10.1145/3530013,
author = {Kang, Hyeonsu B. and Qian, Xin and Hope, Tom and Shahaf, Dafna and Chan, Joel and Kittur, Aniket},
title = {Augmenting Scientific Creativity with an Analogical Search Engine},
year = {2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
issn = {1073-0516},
url = {https://doi.org/10.1145/3530013},
doi = {10.1145/3530013},
note = {Just Accepted},
journal = {ACM Trans. Comput.-Hum. Interact.},
month = {mar},
keywords = {Creativity, Analogies, Innovation, AI-assisted design teams, Sciences, Natural Language Processing}
}
The dataset is divided into 16 roughly equal-sized csv files. Each file contains about 200K paper abstracts, making the total number of documents around 3.3 million.
Each csv file is organized by the following 5 columns.
| title | abstract | purpose | date | venue |
|---|---|---|---|---|
| Reliability Study of Stand-alone Hybrid Renewable Energy Microgrids | This paper proposed new indices for investigating the reliability of the microgrid at different levels. The microgrid used has been developed in DigSILENT software and is comprised of wind, solar, battery storage and a diesel generator. The software was used to observe the effect of system demand and the failure rate of each component at three indices levels. Different simulations had shown that an increase in the system demand affects average energy not supplied, EIC, and average customer curtailment index. Also, at load point, LPIC and load point energy not supply among others are sensitive to system demand. This work proposes a new approach to study the effect of network structure on the reliability of a microgrid. The proposed method employs the prioritization of component importance on microgrid configuration. The results obtained show that the contribution of components to the system’s reliability depends on the network structure. This could be used in identifying direction, priority, and upgrading and suggests the most efficient way to operate and maintain a microgrid. | This paper proposed new indices for investigating the reliability of the microgrid at different levels | "2019-07-01" | "Iranian Journal of Science and Technology, Transactions of Electrical Engineering" |