Abstract
Linked open data is a relatively new topic area with great potential in a wide range of fields. In the tourism domain, many studies are using linked open data to address the problem of location-based recommendation by integrating data with other linked open datasets to enrich data and tourism content for reacting to the needs of tourists. This work aims not only to present a systematic review and mapping of the linked open data in location-based recommendation system on tourism domain, but also to provide an overview of the current research status in the area. First, we classify journal papers in this area from 2001 to 2018 by the year of publication. Second, we analyze and categorize journal papers by the different recommendation applications including problem formulations, data collections, proposed algorithms/systems, and experimental results. Third, we group the linked open data sources used in location-based recommendation system on tourism. Next, we summarize the research achievements and present the distribution of the different categories of location-based recommendation applications via linked open data. Last, we also guide the possible future research direction for the linked open data in location-based recommendations on tourism.
Highlights
Linked Open Data (LOD) is a successful realization of connections between data on the Web
Various literature surveys have been presented a general overview and research challenges in the location-based recommendation systems [19], [20], [21], [22] and the tourism recommendation systems [23]–[26]. While these surveys offer interesting discussions into different aspects of recommendation systems, the novelty of our survey differs from the earlier articles, that is, we focus on the linked open data in location-based recommendation system on tourism
4) We group the linked open data sources used in location-based recommendation system on tourism
Summary
Linked Open Data (LOD) is a successful realization of connections between data on the Web. The large volumes of semantic data are being generated to freely share and use the content. The use of LOD has brought enormous benefits including transparency, discoverability, accessibility, reusability, and interoperability for various application fields. LOD has the potential for use in tourism due to the several forms of data related to tourism information, activities and services produced by online applications, such as TripAdvisor, Booking, Yelp, and Lonely Planet. It can be an alternative for connecting and sharing tourism data, enriching information content, and exploring large tourism datasets.
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