Topic-Based Tourism Ontology Construction Method
A technology of ontology construction and themes, applied in the field of tourism informatization, can solve problems such as inapplicable Chinese retrieval and use, and failure to dig deep into the characteristics of attractions to attract tourists, etc.
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[0021] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0022] Theme-based tourism ontology construction method, tourism ontology includes five elements of class, relationship, function, attribute and instance, this method includes the following steps:
[0023] S1: Use Python language and BeautifulSoup4 library to crawl the descriptive text content of tourist attractions on major tourism websites;
[0024] S2: After de-duplicating and de-noising the crawled data, use the Java Chinese word segmenter Ansj to segment the text;
[0025] S3: Use the document topic generation model (Latent Dirichlet Allocation, LDA) to train the above word segmentation results, get the "document-topic" matrix, and extract the topic as a point of interest; calculate the relationship between the topics through word correlation Degree, and then group the points of interest with high correlation into big themes, as the f...
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