Notes:
An ontology is a structured set of concepts and categories in a domain, typically used to model knowledge in the context of a specific application or domain. In the context of the hotel industry, an ontology could be used to represent knowledge about hotels and related concepts, such as rooms, amenities, services, and location.
An ontology can be used to represent this knowledge in a formal and structured way, using a standardized vocabulary and set of definitions for each concept. This can help to ensure that the knowledge is represented consistently and accurately, and can facilitate the sharing and reuse of this knowledge across different systems and applications.
In the context of a hotel booking system, an ontology could be used to represent the different types of rooms and amenities available at a hotel, as well as the availability and pricing of these rooms. This information could then be used to help customers search for and book rooms at a hotel, and to help the hotel manage bookings and availability.
An ontology could also be used in a virtual assistant or other automated customer service system to help answer questions about hotels and related topics. For example, an ontology could be used to represent knowledge about the location of a hotel, the types of rooms and amenities available, and the services offered by the hotel. This information could then be used by the virtual assistant to provide accurate and relevant answers to customer questions.
Resources:
- euromuse.harmonet.org .. harmonet ontology
- mondeca.com .. mondeca ontology
- opener-project.eu .. detect and disambiguate entity mentions and perform sentiment analysis
- tour-pedia.org .. towards a dbpedia of tourism
- travel itinerary ontology
References:
- Thesaurus on Tourism & Leisure Activities (2001) .. UNWTO
See also:
Case Studies: Travel Industry | Meta Guide Travel Bots | Question Answering Systems & Tourism 2011 | Question Answering Systems & Tourism 2012 | Question Answering Systems & Tourism 2013 | Question Answering Systems & Tourism 2014 | RealTravel
Hontology: a multilingual ontology for the accommodation sector in the tourism industry M Chaves, L Freitas, R Vieira – 2012 – repositorio-cientifico.uatlantica.pt Ontologies have been used to support both web agents reasoning and human decision making. However, ontology development is a new area and for some knowledge domains they are still rare. Although ontologies had been developed in the context of Semantic … Cited by 8 Related articles All 3 versions
Towards a multilingual ontology for ontology-driven content mining in social web sites M Chaves, C Trojahn – 2010 – repositorio-cientifico.uatlantica.pt … This paper presents Hontology, a multilingual ontology for the hotel domain. Hontology has been pro- posed in the context of a framework for ontology-driven mining of Social Web sites content. Comments are annotated with … Cited by 6 Related articles All 7 versions
Accommodations in Tuscany as Linked Data C Bacciu, A Lo Duca, A Marchetti… – … of The 9th edition of the …, 2014 – lrec-conf.org … OLD exploits three common ontologies of the accommodation domain: Acco, Hontology and GoodRelations. … OLD exploits three common ontologies for the accommo- dation domain: Acco (Hepp, 2013), Hontology (Chaves et al., 2012) and GoodRelations (Hepp, 2011). … Cited by 2 Related articles
OpeNER Accommodations as Linked Data C Bacciu, AL Duca, A Marchetti, M Tesconi – semantic-web-journal.net … The dataset has been built starting from two Web sites, which give information about accommodation: Booking.com and Google+ local. Furthermore, it exploits three common ontologies for the accommodation domain: Acco, Hontology and GoodRelations. … 3.3. Hontology … Related articles All 2 versions
Pirpo: An algorithm to deal with polarity in portuguese online reviews from the accommodation sector MS Chaves, LA de Freitas, M Souza… – … Language Processing and …, 2012 – Springer … Page 4. PIRPO: An Algorithm to Deal with Polarity in Portuguese Online Reviews 299 Ontology Concepts: The concepts used to classify the reviews are provided by Hontology, which in its current version, has 110 concepts, 9 object prop- erties and 30 data properties. … Cited by 6 Related articles All 8 versions
Ontology based feature level opinion mining for portuguese reviews LA Freitas, R Vieira – Proceedings of the 22nd international conference …, 2013 – dl.acm.org … com9. The concepts used to identify explicit aspects in accom- modation reviews are provided by Hontology. … properties. Hontology is the first multilingual (Portuguese, English, Spanish and French) ontology for the accommoda- tion domain. … Cited by 6 Related articles All 7 versions
Framework for Customers’ Sentiment Analysis C Marques-Lucena, J Sarraipa, J Fonseca… – Intelligent Systems’ …, 2015 – Springer … To obtain semantic harmonization, Hontology was used. Hontology is a multilin- gual ontology for the hospitality industry in the tourism industry. … Hontology authors defined the top-level concepts based on the customer needs. … Cited by 1 Related articles All 2 versions
Towards a DBpedia of Tourism: the case of Tourpedia S Cresci, A D’Errico, D Gazzé, AL Duca, A Marchetti… – iit.cnr.it … The service is implemented through the use of a D2R server16. For each place, the following ontologies are used to represent it: VCARD [9] and DBpedia OWL17, for generic properties; Acco [8], Hontology [4] and GoodRelations [7] for domain- specific properties. … Related articles All 3 versions
Decision making based on Web 2.0 Data: The small and medium hotel management M Chaves, R Gomes, C Pedron – 2012 – repositorio-cientifico.uatlantica.pt … relationships. In the hotel industry, Room, Staff and Location are examples of these concepts. The main concepts used to classify the reviews come from the ontology, Hontology, developed by Chaves and Trojahn (2010). Our … Cited by 3 Related articles All 3 versions
Exploring User-generated Data Visualization in the Accommodation Sector ES Carvalho, MS Chaves – Information Visualisation (IV), 2012 …, 2012 – ieeexplore.ieee.org … To classify and analyze the data, we developed a methodology based on concepts of a domain-specific ontology — Hontology, described in detail in Chaves and Trojahn [23]. At this stage of our work, we want to elicit formal requirements for visual design of the data. … Cited by 2 Related articles All 6 versions
Analysing reviews in the Web 2.0: Small and medium hotels in Portugal MS Chaves, R Gomes, C Pedron – Tourism Management, 2012 – Elsevier … Corresponding author. Tel.: +351 214 398 200; fax: +351 214 302 573. 1 Hontology was the ontology used in this work. It is described in detail in (Chaves & Trojahn, 2010). Copyright © 2011 Elsevier Ltd. All rights reserved. … Cited by 15 Related articles All 2 versions
An analysis of open-ended online reviews about bed and breakfast and inns in Portugal. SEM dos Santos, MS Chaves… – Revista Brasileira de …, 2014 – researchgate.net … described below: • Concept of the Ontology (CO) – The online reviews will be evaluated based on an ontology of the hotel domain used to standardize accommodation concepts and their relationships. This ontology – named Hontology (H stands for Hotel) – was originally … Related articles All 2 versions
New Findings on the User’s Preferences about Data Visualization of Online Reviews ES Carvalho, MS Chaves – waset.org … support an effective decision making. To classify and analyze the data, a methodology based on concepts of a domain- specific ontology — Hontology, described in detail in Chaves et al. [14] was applied. A 25-item questionnaire … Related articles All 2 versions
A Need for Multilingual Names JPA Barthès – 7 th European Lisp Symposium, 2014 – european-lisp-symposium.org … [3] MS Chaves, LA Freitas, and R. Vieira. Hontology: a multilingual ontology for the accommodation sector in the tourism industry. In Proceedings of the 4th International Conference on Knowledge Engineering and Ontology Development, pages 149–154. … Related articles All 5 versions
Type-2 fuzzy ontology-based opinion mining and information extraction: A proposal to automate the hotel reservation system F Ali, EK Kim, YG Kim – Applied Intelligence, 2014 – Springer Page 1. Appl Intell DOI 10.1007/s10489-014-0609-y Type-2 fuzzy ontology-based opinion mining and information extraction: A proposal to automate the hotel reservation system Farman Ali · Eun Kyoung Kim · Yong-Gi Kim © Springer Science+Business Media New York 2014 … Related articles