An Experimental Approach to Detect Similar Web Pages Based on 3-Levels of Similarity Clues
It is hard to maintain web applications due to rapid changes and the proliferation of various techniques applied to web applications. Several approaches, such as clustering or refactoring web applications, have been suggested to improve their maintainability. The similarity measure is one of the pri...
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| Veröffentlicht in: | Journal of Information Science and Engineering 2011-11, Vol.27 (6), p.1787-1822 |
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| container_title | Journal of Information Science and Engineering |
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| creator | 鄭羽盛(Woo-Sung Jung) 李銀珠(Eun-Joo Lee) 禹治水(Chi-Su Wu) |
| description | It is hard to maintain web applications due to rapid changes and the proliferation of various techniques applied to web applications. Several approaches, such as clustering or refactoring web applications, have been suggested to improve their maintainability. The similarity measure is one of the principal criteria in these approaches. Existing studies on web similarity focused on semantic or context similarity. Most of the existing clone detection techniques concentrated on general applications, not web applications. In this paper, WSIM has been suggested to measure similarity in web applications, based on the usage degree of clues and two linking directions. The similarity clues include page relations, source and target entities, and parameters. WSIM can be classified in three levels and two directions. Six kinds of WSIMs are defined, and each WSIM has its own purpose. Finally, several experiments were conducted on simulated data and real open sources to validate the proposed WSIM. |
| doi_str_mv | 10.6688/JISE.2011.27.6.1 |
| format | Article |
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Several approaches, such as clustering or refactoring web applications, have been suggested to improve their maintainability. The similarity measure is one of the principal criteria in these approaches. Existing studies on web similarity focused on semantic or context similarity. Most of the existing clone detection techniques concentrated on general applications, not web applications. In this paper, WSIM has been suggested to measure similarity in web applications, based on the usage degree of clues and two linking directions. The similarity clues include page relations, source and target entities, and parameters. WSIM can be classified in three levels and two directions. Six kinds of WSIMs are defined, and each WSIM has its own purpose. 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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Applied sciences Clustering Computer science control theory systems Computer systems and distributed systems. User interface Criteria Exact sciences and technology Joining Linking Programming languages Semantics Similarity Simulation Software Software engineering Websites |
| title | An Experimental Approach to Detect Similar Web Pages Based on 3-Levels of Similarity Clues |
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