會議論文
| 學年 | 106 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2017-08-04 |
| 作品名稱 | Heuristics-Based Schema Extraction for Deep Web Query Interfaces |
| 作品名稱（其他語言） | |
| 著者 | Chichang Jou; Yucheng Cheng |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | The 2017 IEEE International Conference on Information Reuse and Integration |
| 會議地點 | San Diego, CA, USA |
| 摘要 | Along with the fast popularity of the internet, contents inside web databases also increase quickly. These data, hidden behind the query interfaces, are called Deep Web. Volumes of deep web contents were estimated to be around 500 times those of surface web. In order to obtain the dynamic contents which satisfy the conditions imposed by the elements of the interface, the internet users must fill in valid values. This is the reason why these contents are not collected by the search engines. Many deep web contents related applications, like contents collection, topic-focused crawling, and data integration, are based on understanding the schema of these query interfaces. The schema needs to cover mappings of input elements and labels, data types of valid input values, and range constraints of the input values, etc. We propose a Heuristics-based deep web query interface Schema Extraction system (HSE) that identifies labels, elements, mappings among labels and elements, and relationships among elements. In HSE, Texts surrounding elements are collected as candidate labels. We propose a string similarity definition and dynamic similarity threshold setup to cleanse or modify candidate labels. Elements, candidate labels, and new lines in the query interface are streamlined to produce its Interface Expression (IEXP). By combining the users' view and the designer’s view, with the aid of semantic information, we then build heuristic rules to extract schema from IEXP of query interfaces in the ICQ dataset. These rules are constructed through utilizing (1) the characteristics of labels and elements, and (2) the spatial, group, and range relationships of labels and elements. Our schema not only helps extracting contents of the deep web, but also benefits the processes of schema matching and schema merging. The experimental results on the TEL-8 dataset show that HSE produces effective performance. |
| 關鍵字 | Deep Web, Query Interface, Schema Extraction, Heuristic Rules, String Similarity |
| 語言 | en_US |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20170804~20170806 |
| 通訊作者 | |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | 無 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112117 ) |