SESA: A Scalable Multi-channel Communication and Booking Solution for E-Commerce in the Tourism Domain

Toma, Ioan; Fensel, Dieter; Oberhauser, Alex; Fuchs, Christoph; Stanciu, Corneliu; Larizgoitia, Iker

doi:10.1109/icebe.2013.44

Cited by 5 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Dacodi Dacodi is the component responsible for distributing the content to the selected communication channels, as well as for collecting and analyzing feedback from those channels [8]. In our current implementation, Dacodi offers various functionalities such as: role management, publication, feedback collection, and front-end.…”

Section: Rule Engine and Editormentioning

confidence: 99%

On Using Semantically-Aware Rules for Efficient Online Communication

Akbar

García

Toma

et al. 2014

Rules on the Web. From Theory to Applications

Self Cite

View full text Add to dashboard Cite

The ever growing number of communication channels not only enables a broader outreach for organizations, but also makes it more difficult for them to manage a very large number of channels and adapted content efficiently. Thus, finding the right channels to disseminate some content and adapting this content to specific channel requirements are real challenges for sharing information both efficiently and effectively. In this work, we present a rule-based system that addresses these challenges by decoupling the information to be shared from the actual channels where it is published. We propose semantic models to characterize and integrate various information sources and channels. A set of independent rules then interrelates these models, specifying the concrete publication workflow and content adaptation required. Furthermore, we evaluate our rule-based system using two different use cases, discussing the added value that the defined rules provide to this scenario and how they contribute to overcoming the identified challenges effectively.

show abstract

Section: Rule Engine and Editormentioning

confidence: 99%

On Using Semantically-Aware Rules for Efficient Online Communication

Akbar

García

Toma

et al. 2014

Rules on the Web. From Theory to Applications

Self Cite

View full text Add to dashboard Cite

show abstract

“…Toma et al refer to touristic services with semantic annotations, using relevant concepts mapped to types in schema.org (schema.org, 2014). Toma et al (Toma, June 2013) specifically refer to the booking problem in the tourism domain.…”

Section: Related Workmentioning

confidence: 99%

Opinion-Ontologies - Short and Sharp

Exman¹

2014

Proceedings of the International Conference on Knowledge Engineering and Ontology Development

View full text Add to dashboard Cite

Opinion-Ontology is a short and sharp tweetable recommendation conceptualization which can be actually sent in a message. But, one should ask in which sense is this a true ontology? On the one hand, it does not represent the common vocabulary or the shared meanings of a domain, as it is subjective. On the other hand, it does contain a semantic structure, which in spite of being subjective enables making inferences and taking rational decisions in practical situations. These are demonstrated by case studies with several examples of booking a table in a restaurant or a room in a hotel in previously unvisited places. The proposed characteristics of opinion-ontologies-efficient information transmission and integration with similar opinion-ontologies without expanding their sizes-can be and we actually intend to implement in a software system, to enable testing in practice, the whole approach. 454 Exman I.. Opinion-Ontologies-Short and Sharp.

show abstract

“…In the tourism industry, online platforms can be identified as connectivity methods for recommending, searching, booking, and paying for hotels (Gössling et al, 2018;Gretzel, Werthner, Koo, & Lamsfus, 2015). The platform is an online booking that allows hotels to interact frequently with users of their visibility to increase room sales and increase hotel room occupancy rates so they can be sold (Toma et al, 2013;Cahyani, et al, 2020;Septariani, et al, 2020;Sari, et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Contribution of online platform reservations to increase room occupancy at The Haven Hotel Bali Seminyak

Wulandari¹,

Susanto²,

Triyuni³

et al. 2021

IJOGTRA

View full text Add to dashboard Cite

This study discusses the contribution of online platform reservations to room occupancy rates at The Haven Hotel Bali Seminyak. The purpose of this study is to determine the contribution of online platform reservations to room occupancy rates and to find out which online platforms contributed the most. Data collection methods used are observation, interview, documentation. The analysis technique used is quantitative descriptive statistics. The results of this study stated that the contribution of the average percentage of online platforms for four years always fluctuates every year. Expedia for the last four years contributed 21.63% room occupancy rate, Booking.com for the last four years contributed 21.50% room occupancy rate, Agoda for the last four years contributed 10.66% room occupancy rate, Traveloka for four last year contributed 1.51% room occupancy rate, Hotelbed for the last four years contributed 2.14% room occupancy rate. Expedia contributed the most, viz 21.63% of room occupancy rate contribution for the last four years.

show abstract

SESA: A Scalable Multi-channel Communication and Booking Solution for E-Commerce in the Tourism Domain

Cited by 5 publications

References 3 publications

On Using Semantically-Aware Rules for Efficient Online Communication

On Using Semantically-Aware Rules for Efficient Online Communication

Opinion-Ontologies - Short and Sharp

Contribution of online platform reservations to increase room occupancy at The Haven Hotel Bali Seminyak

Contact Info

Product

Resources

About