Representing GeoData for Tourism with Schema.org

A large amount of tourism data on the web, representing different touristic services, refers to information which is geographically located. With the intensive development of artificial intelligence, interest in the annotation of data is continuously increasing. It is therefore important to describe all tourist needs. To be understandable to search engines, chatbots or other personal assistant systems, content data should be structured, well-formed and semantically consistent. Schema.org is a de-facto standard for marking up structured data on the web. In this paper we show how to annotate geographical information related to different touristic services and activities (e.g. hotels, restaurants, events, hiking and climbing trails) available on an interactive map using the schema.org vocabulary.

[1]  Michael Uschold,et al.  Ontologies: principles, methods and applications , 1996, The Knowledge Engineering Review.

[2]  Dieter Fensel,et al.  Defining Tourism Domains for Semantic Annotation of Web Content , 2017, ArXiv.

[3]  Charalampos Konstantopoulos,et al.  The eCOMPASS multimodal tourist tour planner , 2015, Expert Syst. Appl..

[4]  Dirk Van Oudheusden,et al.  The City Trip Planner: An expert system for tourists , 2011, Expert Syst. Appl..

[5]  Dirk Van Oudheusden,et al.  The Mobile Tourist Guide: An OR Opportunity , 2007, OR Insight.

[6]  Dieter Fensel,et al.  On Using Semantically-Aware Rules for Efficient Online Communication , 2014, RuleML.

[7]  Joachim Köhler,et al.  A knowledge graph based speech interface for question answering systems , 2017, Speech Commun..

[8]  Jawed I. A. Siddiqi,et al.  Semantic annotation of digital music , 2012, J. Comput. Syst. Sci..

[9]  Dieter Fensel,et al.  Semantify.it, a Platform for Creation, Publication and Distribution of Semantic Annotations , 2017, ArXiv.

[10]  Heiko Paulheim,et al.  A Web-scale Study of the Adoption and Evolution of the schema.org Vocabulary over Time , 2015, WIMS.

[11]  Dieter Fensel,et al.  Complete Semantics to Empower Touristic Service Providers , 2017, OTM Conferences.

[12]  Eugenio Di Sciascio,et al.  Semantic Annotation of OpenStreetMap Points of Interest for Mobile Discovery and Navigation , 2012, 2012 IEEE First International Conference on Mobile Services.

[13]  Martin Hepp,et al.  Representing Fashion Product Data with Schema.org: Approach and Use Cases , 2017, OTM Conferences.

[14]  Rik Van de Walle,et al.  Reconnecting Digital Publications to the Web using their Spatial Information , 2015, WWW.

[15]  Dieter Fensel,et al.  Bringing Online Visibility to Hotels with Schema.org and Multi-channel Communication , 2016, ENTER.

[16]  Haklae Kim,et al.  Towards a sales assistant using a product knowledge graph , 2017, J. Web Semant..

[17]  Norberto Fernández García,et al.  Improving large-scale search engines with semantic annotations , 2013, Expert Syst. Appl..

[18]  Ulrike Gretzel,et al.  Tell Me Who You Are and I Will Tell You Where to Go: Use of Travel Personalities in Destination Recommendation Systems , 2004, J. Inf. Technol. Tour..

[19]  Jens Lehmann,et al.  LinkedGeoData: A core for a web of spatial open data , 2012, Semantic Web.