# EntityIdentification Identify whether two sets of data are from the same entity. 识别两组数据是否来自同一主体

This is a MCP (Model Context Protocol) server. 这是一个支持MCP协议的服务器。

Data Comparison Tool

This tool provides a comprehensive way to compare two sets of data, evaluating both exact and semantic equality of their values. It leverages text normalization and a language model to determine if the data originates from the same entity.

Features

• **Text Normalization**: Converts text to lowercase, removes punctuation, and normalizes whitespace.
• **Value Comparison**: Compares values directly and semantically (ignoring order for lists).
• **JSON Traversal**: Iterates through each key in the JSON objects and compares corresponding values.
• **Language Model Integration**: Uses a generative language model to assess semantic similarity and provide a final judgment on whether the data comes from the same entity.

Installation

To use this tool, ensure you have the necessary dependencies installed. You can install them using pip:

```bash pip install genai ```

Usage

Functions

1. **normalize_text(text)**:

   • Normalizes the input text by converting it to lowercase, removing punctuation, and normalizing whitespace.

2. **compare_values(val1, val2)**:

   • Compares two values both exactly and semantically.
   • If the values are lists, it ignores the order of elements for semantic comparison.

3. **compare_json(json1, json2)**:

   • Compares two JSON objects key by key.
   • Uses `compare_values` to evaluate each key's values.
   • Integrates a language model to assess semantic similarity and provides a final judgment.

Example

```python import json import genai import re

Define your JSON objects

json1 = { "name": "John Doe", "address": "123 Main St, Anytown, USA", "hobbies": ["reading", "hiking", "coding"] }

json2 = { "name": "john doe", "address": "123 Main Street, Anytown, USA", "hobbies": ["coding", "hiking", "reading"] }

Compare the JSON objects

comparison_results = compare_json(json1, json2)

Generate final matching result

model1 = genai.GenerativeModel("gemini-2.0-flash-thinking-exp") result_matching = model1.generate_content("综合这些信息，你认为可以判断两个数据来自同一主体吗？"+json.dumps(comparison_results, ensure_ascii=False, indent=4)) print(result_matching.text) ```

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

Contact

If you have any questions or suggestions, please contact me:

• Email: u3588064@connect.hku.hk
• GitHub: [u3588064@connect.hku.hk](mailto:u3588064@connect.hku.hk)。

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