Development an Ontology Knowledge Base for Biodiversity, Identify Plants of Community Forest: A Case Study of Baan Wang Sai Community

This study aims to develop an ontology-based knowledge base for biodiversity, identity, and plant species in community forests, with a specific focus on the Baan Wang Sai Community forest, located in Tham Yai Sub-district, Thungsong District, Nakhon Si Thammarat Province, Thailand. The research involves creating a comprehensive ontology that integrates seven main classes: Plants, Plant Types, Usefulness, Learning Points, User Parts, Identity, and How to Use. These classes serve as the foundation for a semantic search system designed to manage and retrieve information related to the biodiversity and cultural identity of the forest's plant species. The ontology knowledge base is converted into OWL (Web Ontology Language) and linked with a database system to facilitate efficient data retrieval and management. A key feature of the system is its ability to allow users to search for plant species and view related information, including their uses and learning points, accurately. The system's performance was evaluated by experts, yielding a precision of 100%, recall of 94.83%, and an F-measure of 97.35%, demonstrating its effectiveness. This ontology-based system provides a valuable tool for biodiversity conservation, cultural preservation, and sustainable forest management in the Baan Wang Sai Community forest, enhancing knowledge sharing among local communities, researchers, and policymakers.