Automatic Classification of Web Databases Using Domain-Dictionaries
作者： Heidy M. Marin-Castro , Victor J. Sosa-Sosa , Ivan Lopez-Arevalo , Hugo Jair Escalante-Baldera
DOI: 10.1007/978-3-642-39712-7_26
关键词:
摘要: The identification, classification and integration of databases on the Web (also called web databases) as information sources is still a great challenge due to their constantly growing diversification. such according application domain an important step towards deep sources. Moreover, given design content heterogeneity that exists among different databases, automatic become highly demanded task, requiring techniques allow cluster domains they belong to. In this paper we present strategy for based new supervised approach. This uses visible available group specific-domain Query Interfaces (WQIs) construct dictionary or lexicon will better describe particular interest. enriched with synonyms. our experiments, was built from set randomly selected WQIs. WQI dictionaries generated in way showed efficient competitive results compared against related work.
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