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- W2432878049 abstract "Semantic annotation is the basement of semantic retrieval which has become a hot motivation of research in recent years. Social annotation makes it possible for semantic annotation of large amount of web resources. Because social tags express the semantic information of the resource, resources can be organized and managed by their semantics with the help of social tags. Information classification will help semantic retrieval greatly. We propose a kind of tourism classification which includes concepts related with tourism tags and a Bayesian based algorithm which aggregates concepts from social tags in this paper. Applying the algorithm to the automatic classification of tourism resources, the results show the effectiveness of the proposed algorithm." @default.
- W2432878049 created "2016-06-24" @default.
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- W2432878049 date "2016-05-31" @default.
- W2432878049 modified "2023-09-28" @default.
- W2432878049 title "Annotating Tourism Resources with Social Tags and Classifying them with Bayesian Algorithm" @default.
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- W2432878049 doi "https://doi.org/10.14257/ijunesst.2016.9.5.38" @default.
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