TY  - BOOK
AU  - Joshi,Sirikit
AU  - Chutiporn Anutariya,
AU  - Huynh, Trung Luong,
ED  - AIT Fellowship,
TI  - A knowledge graph for biodiversity conservation and ecotourism
T2  - Thesis
PY  - 2024///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Biodiversity conservation
KW  - Thailand
KW  - Sustainable tourism
KW  - Ontology
N1  - 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
N2  - 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
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B23647
ER  -