Ontology-based approaches for multi-destination tourism planning: a systematic literature review
Tourism planning is becoming increasingly complex as travel behavior shifts from single-destination visits to multi-destination itineraries. However, many tourism information systems still rely on point-of-interest data and recommendation algorithms that lack the semantic structures needed to represent relationships between destinations. This limitation is important in smart tourism environments that require interoperable, data-integrated systems to support meaningful travel planning. This study
Record details
Published: 20 July 2026
Source: Frontiers in Artificial Intelligence
Category: Research
Topics: Environment
Retrieved: 20 July 2026
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ethics.ai (20 July 2026), “Ontology-based approaches for multi-destination tourism planning: a systematic literature review,” evidence record 11799, https://ethics.ai/record/11799 (originally published by Frontiers in Artificial Intelligence).
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