Defining Tourism Domains for Semantic Annotation of Web Content
This work addresses the challenge of improving web content visibility and machine understanding in the tourism domain, but it is incremental as it builds on existing schema.org frameworks.
The paper tackled the problem of selecting appropriate schema.org classes and properties for annotating tourism-related web content, resulting in a collection of domain specifications built through domain analysis and vocabulary selection.
Schema.org is an initiative by Bing, Google, Yahoo! and Yandex that publishes a vocabulary for creating structured data markup on web pages. The use of schema.org is necessary to increase the visibility of a website, making the content understandable to different automated agents (e.g. search engines, chatbots or personal assistant systems). The domain specifications are the subsets of types from the schema.org vocabulary, each associated with a set of properties. The challenge is to choose the right classes and properties for an annotation in a given domain. In this paper we address the problem of finding a subset of types and properties for complete and correct annotation of different tourism domains. The approach provides a collection of domain specifications that were built based on domain analysis and vocabulary selection.