Analysis of Schema.org Usage in the Tourism Domain

Paper

Analysis of Schema.org Usage in the Tourism Domain

Published Feb 5, 2018 · Boran Taylan Balci, Umutcan Simsek, Elias Kärle

ArXiv

UNKNOWN SJR score

3

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0

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Abstract

Schema.org is an initiative founded in 2011 by the four-big search engine Bing, Google, Yahoo!, and Yandex. The goal of the initiative is to publish and maintain the schema.org vocabulary, in order to facilitate the publication of structured data on the web which can enable the implementation of automated agents like intelligent personal assistants and chatbots. In this paper, the usage of schema.org in tourism domain between years 2013 and 2016 is analysed. The analysis shows the adoption of schema.org, which indicates how well the tourism sector is prepared for the web that targets automated agents. The results have shown that the adoption of schema.org type and properties is grown over the years. While the US is dominating the annotation numbers, a drastic drop is observed for the proportion of the US in 2016. Poorly rated businesses are encountered more in 2016 results in comparison to previous years.

Preprint

Study Snapshot

Schema.org adoption in the tourism domain has increased over time, with the US dominating the annotation numbers, but a drop in 2016 due to poorer rated businesses.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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Analysis of Schema.org Usage in the Tourism Domain

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References

Schema.org: Evolution of Structured Data on the Web

Schema.org aims to simplify the conversion of HTML content into structured data, reducing the need for custom extractors and improving the quality of data extraction.

A Web-scale Study of the Adoption and Evolution of the schema.org Vocabulary over Time

The schema.org vocabulary has evolved and adopted over time, driven by both top-down adoption and bottom-up evolution driven by deployed data on websites.

The WebDataCommons Microdata, RDFa and Microformat Dataset Series

This paper presents a series of publicly accessible Microdata, RDFa, and Microformat datasets from 2010-2013, containing over 30 billion RDF quads and valuable for research on integrating and cleansing structured data in various applications.

Improving the Online Visibility of Touristic Service Providers by Using Semantic Annotations

Using semantic annotations on websites can significantly improve the online visibility of touristic service providers in Innsbruck and its surroundings.

Extending the Schema.org Vocabulary for More Expressive Accommodation Annotations

This paper extends schema.org to provide more detailed descriptions of accommodation data, improving machine readability and expressiveness on hotel websites.

Citations

Enhancing knowledge graphs with microdata and LLMs: the case of Schema.org and Wikidata in touristic information

Using microdata from SEO-oriented web pages can enhance knowledge graphs in touristic information, but effectiveness is lower in cases with less content.

Co-Creation Among Small Scale Tourism Firm: Role of Information Communication and Technology in Productivity and Sustainability

ICT-enabled tourism in Uttarakhand boosts productivity and sustainability by enhancing co-innovation strategies among micro and small firms, based on cross-functional linkage and internet use.

Machine Readable Web APIs with Schema.org Action Annotations

This paper proposes a lightweight, bottom-up approach based on schema.org actions to annotate Web APIs, enabling automated agents like intelligent personal assistants to complete tasks like booking hotel rooms or buying event tickets.