a year ago
research-and-dataMCP (Model Context Protocol) server for identifying whether two sets of data are from the same entity. 识别两组数据是否来自同一主体的MCP服务器
Overview
What is EntityIdentification?
EntityIdentification is a Model Context Protocol (MCP) server designed to determine whether two sets of data originate from the same entity.
How to use EntityIdentification?
To use EntityIdentification, install the necessary dependencies using pip and utilize the provided functions to compare data sets.
Key features of EntityIdentification?
- Text Normalization: Standardizes text by converting it to lowercase, removing punctuation, and normalizing whitespace.
- Value Comparison: Compares values both exactly and semantically, ignoring order for lists.
- JSON Traversal: Iterates through JSON objects to compare corresponding values.
- Language Model Integration: Uses a generative language model to assess semantic similarity and provide a final judgment.
Use cases of EntityIdentification?
- Identifying duplicate records in databases.
- Merging datasets from different sources.
- Validating data integrity in data pipelines.
FAQ from EntityIdentification?
- Can EntityIdentification handle large datasets?
Yes! It is designed to efficiently compare large sets of data.
- Is EntityIdentification free to use?
Yes! The project is open-source and free to use.
- How accurate is the comparison?
The accuracy depends on the quality of the input data and the effectiveness of the normalization process.