lit-review

Automating a literature review for academic research involves retrieving and synthesizing papers from sources like Semantic Scholar and arXiv. This Skill uses domain-aware keyword expansion to gather relevant GIScience papers and generates a structured synthesis matrix identifying knowledge gaps.

Yes, you can synthesize academic papers from local PDFs, Zotero, and Obsidian. The Skill integrates these sources alongside web search and arXiv to retrieve, analyze, and compile papers into a comprehensive review matrix.

Domain-aware keyword expansion broadens search queries to ensure comprehensive paper retrieval. By automatically generating relevant terms for fields like remote sensing and geoscientific analysis, it captures a wider array of academic literature for your review.

Building a literature synthesis matrix from arXiv and Semantic Scholar is handled by automated Python scripts. The Skill retrieves papers, analyzes their content, and structures the findings into a matrix while highlighting existing knowledge gaps.

Yes, the tool works with Python and utilizes pandas, requests, arxiv, and semantic-scholar-api dependencies. It executes Python scripts to automate data retrieval and paper synthesis specifically tailored for geoscientific analysis workflows.

Automated paper synthesis focuses primarily on GIScience and GeoAI domains. While it automates retrieval and synthesis from connected sources, users outside these fields may find the domain-aware keyword expansion less effective for their specific literature review needs.