A knowledge graph for biodiversity conservation and ecotourism
- Pathum Thani, Thailand : Asian Institute of Technology, 2024
- 99 leaves : ill.+ 1 online resource
- Thesis ; no. DSAI-24-11 .
- Asian Institute of Technology. Thesis ; no. DSAI-24-11 .
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Data Science and Artificial Intelligence
Thesis (M. Eng.) - Asian Institute of Technology, 2024
Biodiversity supports ecological stability and human well-being by providing essential services like food security and climate regulation. Global initiatives emphasize conser vation, while ecotourism promotes responsible travel that sustains biodiversity and ben efits local communities. High Conservation Value (HCV) analysis further identifies key ecological, social, and cultural areas critical for conservation and tourism. Knowledge Graphs offer advanced insights by integrating complex ecological and touristic data.This study addresses the gap in understanding the biodiversity-ecotourism relationship by constructing an ontology-based knowledge graph for the Ranong Biosphere Reserve, Thailand. Semi-structured data from NECTEC, was processed in Protégé, revealing Biodiversity (HCV1), Livelihood (HCV5), and Cultural (HCV6) hotspots, along with novel insights from the integrated ontology. A user-friendly interface was developed to enable stakeholders to access data for informed decisions. The BioEcoThai ontology aligns with SDGs 12.b.1, 15.5.1, and 15.9.1 by supporting habitat conservation, biodiversity integration in planning, and sustainable tourism. It empowers stakeholders to identify High Conservation Value Areas, optimize resource use, and foster sustainable tourism and conservation efforts.