A semi-automatic method for building semantic data repository Applied for Vietnamese tourism datasets

ANH-TIEN, LE and TUAN-DUNG, CAO (2016) A semi-automatic method for building semantic data repository Applied for Vietnamese tourism datasets. In: Fourth International Conference on Advances In Computing, Control And Networking - ACCN 2016, 07 - 08 May, 2016, Bangkok, Thailand.

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Abstract

In this work, we propose Semantic Tourist Data Innovation System (ViSIS) - a framework to generate linked dataset of tourism such as restaurants, hotels, attractions and hospitals. ViSIS extracts and integrates information about places from various relational datasets which contain the data from many different social media or location-based websites such as Foursquare, Agoda, Mytour, etc. These enormous and heterogeneous data are converted into a semantic knowledge base, which currently consists of more than 100,000 places in Vietnam and has started to expand with the information from other famous cities, i.e. London, Barcelona and Rome. This paper will describe the architecture of ViSIS, its processes and present an improved method for categorizing places.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: rdf, ontology, semantic web, rdf converter, tourism, linked data.
Depositing User: Mr. John Steve
Date Deposited: 23 Mar 2019 12:12
Last Modified: 23 Mar 2019 12:12
URI: http://publications.theired.org/id/eprint/861

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