Query interface schema extracting from deep web using ontology

Yong Sun; Shang Wang; Zhenyuan Li; Chang Liu; Tao Peng; Yuhang Qiu

doi:10.1117/12.2607261

11 November 2021 Query interface schema extracting from deep web using ontology

Yong Sun, Shang Wang, Zhenyuan Li, Chang Liu, Tao Peng, Yuhang Qiu

Proceedings Volume 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence; 120760P (2021) https://doi.org/10.1117/12.2607261
Event: Fourth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2021), 2021, Shanghai, China

Abstract

There are abundant information on the network, such as weather information, book information and so on. Now the Web information has far exceeded human imagination. However, most deep web information resources are not available through simple click, and often need query interface. We use domain ontology to construct the interface schema extraction method, the approach extracts interface schema from the perspective of visual units and the internal codes. There are many data extraction methods. Among them, CAW (Context-Aware Wrapper) is representative and outstanding. Thus, we choose it as our state-of-art baseline algorithm. The extraction effect of this method is better than CAW in the experiment. Finally, the effectiveness of this method is verified.

Citation Download Citation

Yong Sun, Shang Wang, Zhenyuan Li, Chang Liu, Tao Peng, and Yuhang Qiu "Query interface schema extracting from deep web using ontology", Proc. SPIE 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence, 120760P (11 November 2021); https://doi.org/10.1117/12.2607261

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