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Research on the Classification of Travel Demand Information and the Acquisition of Ontology Concept Based on "We Media"
Received date: 2015-10-31
Revised date: 2015-11-12
Online published: 2015-12-05
[Purpose/significance] The "We Media" such as WeChat and micro-blog, implies a large demand of tourism consumption information. The information is classified and the classification results are used to construct requirement ontology, which could help enterprises to analyze user needs to obtain huge commercial value.[Method/process] The SVM classification algorithm is used to generate the microblog information classification results, which include a large number of tourism related concepts of vocabulary, as the construction and expansion of the corpus of the ontology of tourism demand; and then investigates large travel website categories to determine the core concept of tourism demand. [Result/conclusion] The extraction results are used to match the core concept and generate extended ontology. Use HOZO ontology editing tools to modify and improve the present part of tourism demand ontology. From the experimental results, this method can be used to more accurately classify the texts which include tourism needs.
Key words： We Media; travel demand; ontology classification; concept acquisition
Li Zhiyi , Yang Xiongwei , Wang Mian . Research on the Classification of Travel Demand Information and the Acquisition of Ontology Concept Based on "We Media"[J]. Library and Information Service, 2015 , 59(23) : 106 -114 . DOI: 10.13266/j.issn.0252-3116.2015.23.016
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