Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.93
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.
Surface Web, Deep Web, WordNet, ontology
Wanli Zuo, Hao Liang, Fengling He, Junhua Wang, Fei Ren, "Extracting Attributes from Deep Web Interface Using Instances", Computer Science and Information Engineering, World Congress on, vol. 05, no. , pp. 692-696, 2009, doi:10.1109/CSIE.2009.93