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# MApp-KG (Old Knowledge Graph Repository)
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The *MApp-KG* is developed as a Java-based Spring Boot service using the RDF4J framework to build the hook with a GraphDB repository instance.
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MApp-KG is a Java-based Spring Boot service that utilizes the RDF4J framework to interact with a **GraphDB repository instance**.
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## Description
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## 📌 Description
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This software component provides an API for querying, updating, and extracting knowledge from a graph database.
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This component provides a **REST API** for querying, updating, and extracting knowledge from a graph database.
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## Used Technologies
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## 🛠️ Used Technologies
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| Component | Description | Version |
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|-------------|---------------------------------------------------------------------------------------|---------|
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| Spring Boot | Collection of Java libraries for creating REST APIs | 2.7.1 |
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| RDF4J | Java library for manipulating RDF graphs | 3.0.0 |
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| GraphDB | GraphDB is an enterprise-ready Semantic Graph Database, compliant with W3C Standards. | 10.1.0 |
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| **Spring Boot** | Java framework for creating REST APIs | 2.7.1 |
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| **RDF4J** | Java library for manipulating RDF graphs | 3.0.0 |
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| **GraphDB** | Enterprise-ready **Semantic Graph Database**, compliant with W3C standards | 10.1.0 |
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## How to Configure
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## ⚙️ Configuration
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Configure the GraphDB connection by setting the proper values for `db.url`, `db.username`, and `db.password` in `src/main/resources/application.properties` and `src/main/resources/application-gessi.properties` (if you use docker) or and `src/main/resources/application-localhost.properties` (if you use localhost).
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To configure the **GraphDB connection**, set the appropriate values for:
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Configure the RML file path by setting the proper value for `rml.path` to use a custom RML file for schema integration.
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- `db.url`
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- `db.username`
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- `db.password`
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## How to Build
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These values should be updated in the respective properties files:
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To build the project, run the following command:
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- **Docker deployment**: `src/main/resources/application-gessi.properties`
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- **Localhost deployment**: `src/main/resources/application-localhost.properties`
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To set a custom **RML file path**, configure `rml.path` accordingly.
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---
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## 🚀 How to Build
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To build the project, run:
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```sh
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mvn clean install package
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```
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## How to Use
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## ▶️ How to Run
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To run the service using Java from the generated package (`.jar`), run the following command:
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### **Run using Java**
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```sh
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java -jar target/repo-0.0.1-SNAPSHOT.jar
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```
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To deploy the service in a Docker container, follow these steps:
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### **Deploy using Docker**
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### Build Docker Image
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#### **Step 1: Build Docker Image**
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```sh
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docker build -t kg_repository .
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docker build -t mapp-kg .
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```
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### Run Docker Container
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#### **Step 2: Run Docker Container**
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```sh
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docker run -d -p 3003:3003 --name KG_Repository kg_repository
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docker run -d -p 3003:3003 --name MApp-KG \
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-e DB_USERNAME=my_db_user \
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-e DB_PASSWORD=my_db_password \
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-e REPO_NAME=my_repo_name \
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mapp-kg
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```
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## How to Deploy (New Method)
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---
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## 🌍 How to Deploy (New Method)
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### Step 1: Pull Image
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### **Step 1: Pull Image from Repository**
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```sh
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docker pull mtiessler/kg_repository:latest
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```
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### Step 2: Build Image (if needed)
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### **Step 2: Build Image (if needed)**
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```sh
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docker build -t mtiessler/kg_repository:latest .
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```
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### Step 3: Create `kg_repository.env` File
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This file contains the credentials required to access the SPARQL database.
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The `.env` file must be in the same directory where the commands are executed.
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### **Step 3: Create `.env` File**
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Create a file named `kg_repository.env` in the same directory where you execute the Docker commands. This file should contain:
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```
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DB_USERNAME=username
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DB_PASSWORD=password
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```
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## Features
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The API of the MAPP-KG is available in the [Postman Collection](https://www.postman.com/gessi-fib-upc/gessi-nlp4se/collection/ak3s503/mapp-kg-old-app-repo?action=share&source=copy-link&creator=32448387)
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### Main Data Import Methods:
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- **Add Mobile Apps (JSON format)**: Store a list of mobile apps using a JSON Array of mobile apps as the body of the HTTP request. See the Swagger documentation for the schema.
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- **Add Mobile Apps (RDF format)**: Store all triples within a given RDF file.
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- **Add Mobile Apps (RML-based)**: Store all mobile apps extracted from a JSON file using a given RML mapping instance.
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### Inductive Knowledge Generation:
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- **Extract Features**: Send a `POST` request to `/derivedNLFeatures` with textual data (descriptions, summaries, changelogs, and/or reviews) to extract potential app features.
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- **Query parameters:**
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- `documentType`: Type of document to be processed (DESCRIPTION, SUMMARY, CHANGELOG, REVIEWS, USER_ANNOTATED, ALL).
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- `batch-size`: Number of documents processed at once.
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- `from`: Offset to start processing from the nth document.
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- (Optional) `maxSubj`: Subjectivity threshold (reviews above this won't be processed).
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- **Feature Similarity Matching**: Send a `POST` request to `/computeFeatureSimilarity` to find and match synonyms between app features.
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- Accepts a `threshold` parameter (between 0 and 1, default is 0.5).
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- **Undo Feature Synonymy**: Send a `DELETE` request to `/deleteFeatureSimilarities` to undo feature synonymy computed with `/computeFeatureSimilarity`.
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## File Structure
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- `src/main/java/upc/edu/gessi/repo`
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- **AppGraphRepoApplication.java**: Main class.
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- **Controller Package**: Handles HTTP requests.
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- `GraphDBController.java`: Logic for storing and retrieving data from the GraphDB repository.
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- `InductiveKnowledgeController.java`: Auxiliary repository handling extended knowledge generation.
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- **Domain Package**: Contains domain-specific entities.
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- **Service Package**: Business logic and database interaction.
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- `GraphDBService.java`: Main service containing methods for querying and updating the database.
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- `NLFeatureService.java`: Auxiliary service that communicates with a remote NL service for feature extraction.
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- **Utils Package**: Auxiliary functions.
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## RDF Graph Example
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You can find an RDF graph instance already populated with app info in [statements.zip](https://github.com/gessi-chatbots/app_data_repository/tree/master/data).
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The data was originally obtained using the [App Data Scanner Service](https://github.com/gessi-chatbots/app_data_scanner_service).
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App info includes:
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- Package name
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- Description
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- Summary
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- Changelog
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- Reviews
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- Annotated features
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---
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## 🔗 API Documentation
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The API of MApp-KG is available in the **Postman Collection**:
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[Postman Collection - MApp-KG](https://www.postman.com/gessi-fib-upc/gessi-nlp4se/collection/ak3s503/mapp-kg-old-app-repo?action=share&source=copy-link&creator=32448387)
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---
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