| name | paper-search |
| description | Search academic papers via OpenAlex API for math modeling references. Invoke when user needs literature. |
Paper Search Skill - ่ฎบๆๆ็ดขๆ่ฝ
ๆฌๆ่ฝ้่ฟ OpenAlex API ๅฎ็ฐๅญฆๆฏ่ฎบๆๆ็ดขๅ่ฝ๏ผไธบๆฐๅญฆๅปบๆจก่ฎบๆๆฐๅๆไพๅ่ๆ็ฎๆฏๆใ
ๅ่ฝๆฆ่ฟฐ
| ๅ่ฝ | ่ฏดๆ |
|---|
| ่ฎบๆๆ็ดข | ้่ฟๅ
ณ้ฎ่ฏๆ็ดข็ธๅ
ณๅญฆๆฏ่ฎบๆ |
| ๆ่ฆ่ทๅ | ่ชๅจ้ๅปบๅนถ่ฟๅ่ฎบๆๆ่ฆ |
| ๅผ็จๆ ผๅผๅ | ็ๆๆ ๅ็ๅผ็จๆ ผๅผ |
| ๅคๅญๆฎตๆ็ดข | ๆฏๆๆ ้ขใๆ่ฆใไฝ่
็ญๅคๅญๆฎตๆ็ดข |
ไฝฟ็จๅบๆฏ
ๅจไปฅไธๆ
ๅตไธไฝฟ็จๆฌๆ่ฝ๏ผ
- ๅปบๆจกๅๆ้ถๆฎต๏ผๆฅๆพๆจกๅ็ธๅ
ณ็็่ฎบๆ็ฎ
- ่ฎบๆๆฐๅ้ถๆฎต๏ผไธบ่ฎบๆๆทปๅ ๅ่ๆ็ฎๅผ็จ
- ็ฎๆณ้ช่ฏ้ถๆฎต๏ผๆฅๆพ็ฎๆณ็ๅๅง่ฎบๆ
- ็จๆท่ฏทๆฑ๏ผ็จๆทๆ็กฎ่ฆๆฑๆ็ดข่ฎบๆๆๆ็ฎ
้
็ฝฎ่ฆๆฑ
้ฎ็ฎฑ้
็ฝฎ๏ผๅฟ
้๏ผ
OpenAlex API ่ฆๆฑๆไพ้ฎ็ฎฑๅฐๅไปฅไฝฟ็จ็คผ่ฒๆฑ ๏ผPolite Pool๏ผ๏ผ
ไฝฟ็จๅๅฟ
้กป้
็ฝฎ้ฎ็ฎฑๅฐๅ๏ผ
- ็จไบ็คผ่ฒๆฑ ่ฎฟ้ฎ๏ผๆ้ซAPI้ๅถ
- ๅฟ
้กปๆฏๆๆ็้ฎ็ฎฑๅฐๅ
ๆ็ดขๆต็จ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ่ฎบๆๆ/ๅปบๆจกๆ โ
โ (้่ฆๅผ็จๆ็ฎๆถ่ฐ็จๆ็ดขๅทฅๅ
ท) โ
โโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ่ฐ็จ search_papers
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ openalex_scholar.py โ
โ (่ฎบๆๆ็ดข่ๆฌ - ๅฐ่ฃ
OpenAlex API ่ฐ็จ) โ
โโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ HTTP GET ่ฏทๆฑ
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ OpenAlex API (https://api.openalex.org) โ
โ - ๅ
่ดนๅญฆๆฏๆ็ดขๅผๆ โ
โ - ๆฏๆ่ฎบๆๆ ้ขใๆ่ฆใไฝ่
ใๅผ็จๆฌกๆฐ็ญๅญๆฎต โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ไฝฟ็จๆนๆณ
ๆนๆณไธ๏ผ่ฟ่กๆ็ดข่ๆฌ
python tools/paper_search/scripts/openalex_scholar.py --query "grey prediction model" --email "your@email.com"
ๆนๆณไบ๏ผๅจไปฃ็ ไธญ่ฐ็จ
from openalex_scholar import OpenAlexScholar
scholar = OpenAlexScholar(email="your@email.com")
papers = scholar.search_papers("linear programming optimization")
for paper in papers:
print(f"ๆ ้ข: {paper.title}")
print(f"ไฝ่
: {', '.join(paper.authors)}")
print(f"ๅนดไปฝ: {paper.publication_year}")
print(f"ๅผ็จ: {paper.citation_format}")
print(f"DOI: {paper.doi}")
print("---")
ๆนๆณไธ๏ผ่ทๅๅญๅ
ธๆ ผๅผๆฐๆฎ
from openalex_scholar import OpenAlexScholar
scholar = OpenAlexScholar(email="your@email.com")
papers = scholar.search_papers("linear programming optimization")
for paper in papers:
paper_dict = paper.to_dict()
print(f"ๆ ้ข: {paper_dict['title']}")
print(f"ไฝ่
: {paper_dict['authors']}")
print(f"ๅนดไปฝ: {paper_dict['publication_year']}")
print(f"ๅผ็จ: {paper_dict['citation_format']}")
print("---")
่ฟๅๅญๆฎต่ฏดๆ
Paper ๅฏน่ฑกๅฑๆง
| ๅฑๆง | ็ฑปๅ | ่ฏดๆ |
|---|
title | str | ่ฎบๆๆ ้ข |
abstract | str/None | ๆ่ฆ๏ผไปๅๆ็ดขๅผ้ๅปบ๏ผ |
authors | List[str] | ไฝ่
ๅ่กจ |
cited_by_count | int | ่ขซๅผ็จๆฌกๆฐ |
doi | str/None | DOI ๆ ่ฏ็ฌฆ |
publication_year | int/None | ๅ่กจๅนดไปฝ |
Paper ๅฏน่ฑกๆนๆณ
| ๆนๆณ | ่ฟๅๅผ | ่ฏดๆ |
|---|
citation_format | str | ๆ ผๅผๅๅผ็จๆๆฌ๏ผAPA้ฃๆ ผ๏ผ |
to_dict() | Dict | ่ฝฌๆขไธบๅญๅ
ธๆ ผๅผ๏ผๅ
ๅซๆๆๅญๆฎตๅcitation_format |
ๅผ็จๆ ผๅผ็คบไพ
Smith J. et al. (2020). A Novel Approach to Grey Prediction Models.
DOI: 10.1016/j.example.2020.123456
API ้ๅถไธๆไฝณๅฎ่ทต
| ้กน็ฎ | ่ฏดๆ |
|---|
| ้็้ๅถ | ไฝฟ็จ็คผ่ฒๆฑ (polite pool)ๅฏๆ้ซ้ๅถ |
| ๅฟ
้ๅๆฐ | ๅฟ
้กปๆไพ mailto ้ฎ็ฎฑๅๆฐ |
| ่ฟๅๆฐ้ | ้ป่ฎค่ฟๅ 8 ็ฏ็ธๅ
ณ่ฎบๆ |
| ๆ็ดขๅญๆฎต | ๆฏๆๆ ้ขใๆ่ฆใไฝ่
็ญๅคๅญๆฎตๆ็ดข |
ๆฐๅญฆๅปบๆจกๅธธ็จๆ็ดขๅ
ณ้ฎ่ฏ
ไผๅ็ฎๆณ
linear programming optimizationgenetic algorithm optimizationparticle swarm optimizationsimulated annealing
้ขๆตๆจกๅ
grey prediction model GM(1,1)ARIMA time series forecastingLSTM neural network predictionprophet forecasting
่ฏไปทๆนๆณ
analytic hierarchy process AHPTOPSIS multi-criteria decisionentropy weight methoddata envelopment analysis DEA
ๅพ่ฎบไธ็ฝ็ป
shortest path algorithm Dijkstraminimum spanning treemaximum flow networkvehicle routing problem
็ธๅ
ณๆไปถ
| ๆไปถ | ่ฏดๆ |
|---|
scripts/openalex_scholar.py | OpenAlex ๆ็ดขๅฎ็ฐ่ๆฌ |
ๅ่้พๆฅ
