Computer Entity-oriented Search Models in the Tourism Sector

Entity-oriented search is an advanced type of search engine that moves beyond simple keyword matching to focus on retrieving information about specific tourism entities and their relationships. In the tourism sector, these entities are foundational and include hotels, attractions, cities, airports, airlines, and events. The core objective of this search approach is to extract precise, structured information about these tourism entities and their interconnections from diverse sources such as databases, travel-related web texts, and social media. These search models are designed to provide users with comprehensive, structured results. This allows potential tourists to find detailed answers to complex queries, such as: "Which five-star hotels near the Burj Khalifa allow pets?" Entity-oriented search engines rely on sophisticated techniques like Knowledge Graphs, semantic technologies, and machine learning algorithms to deeply understand the meaning of travel-related user queries. This ensures the delivery of highly accurate and personalized results, significantly enriching the experience of searching for trips and holidays.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-03
DOI
https://doi.org/10.5281/zenodo.17510387
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Computer Entity-oriented Search Models in the Tourism Sector

Zenodo (CERN European Organization for Nuclear Research)
Semantic Web and Ontologies
article

Computer Entity-oriented Search Models in the Tourism Sector

article en

Abstract

Entity-oriented search is an advanced type of search engine that moves beyond simple keyword matching to focus on retrieving information about specific tourism entities and their relationships. In the tourism sector, these entities are foundational and include hotels, attractions, cities, airports, airlines, and events. The core objective of this search approach is to extract precise, structured information about these tourism entities and their interconnections from diverse sources such as databases, travel-related web texts, and social media. These search models are designed to provide users with comprehensive, structured results. This allows potential tourists to find detailed answers to complex queries, such as: "Which five-star hotels near the Burj Khalifa allow pets?" Entity-oriented search engines rely on sophisticated techniques like Knowledge Graphs, semantic technologies, and machine learning algorithms to deeply understand the meaning of travel-related user queries. This ensures the delivery of highly accurate and personalized results, significantly enriching the experience of searching for trips and holidays.

Zenodo (CERN European Organization for Nuclear Research)
Heliopolis University (EG), Higher Institute for Tourism, Hotels and Computer (EG)
Decent work and economic growth
Openalex Percentile: Top 23%
Semantic Web and Ontologies
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