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2009 WRI World Congress on Computer Science and Information Engineering
Extracting Attributes from Deep Web Interface Using Instances
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
There is myriad high quality information in the Deep Web and the feasible method to access the Deep Web is through the query interface of the Deep Web. It’s necessary to extract abundant attributes and semantic relation description from the query interface. Automatic extracting attributes from the query interface and automatically translating a query is a solvable way for addressing the current limitations in accessing Deep Web data sources. We design a framework to automatically extract the attributes and instances from the query interface using the WordNet as a kind of ontology technique to enrich the semantic description of the attributes. Each attribute is extended into a candidate attribute set in the form of a hierarchy tree. At the same time, the hierarchy tree generated by ontology describes the semantic relation of the attributes in the same query interface.
Index Terms:
Surface Web, Deep Web, WordNet, ontology
Hao Liang, Fei Ren, Wanli Zuo, Fengling He, Junhua Wang, "Extracting Attributes from Deep Web Interface Using Instances," csie, vol. 5, pp.692-696, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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