{"title":"加速结构化Web爬行而不丢失数据","authors":"B. R. El-Gamil, W. Winiwarter","doi":"10.1145/2539150.2539203","DOIUrl":null,"url":null,"abstract":"Size of retrieved data versus crawling time formulate a well-known dilemma in the structured Web crawling community. The real challenge within this dilemma is to optimize the settings of a given wrapper to obtain maximum available data in shortest possible time. In this paper, we try to tune these settings, by introducing a threaded algorithm that guarantees accessing all available detail pages within crawling scope; and using this algorithm, we try to reduce the time consumed by the crawler, via simple adjustments of sleeping time after each detail page visit.","PeriodicalId":424918,"journal":{"name":"International Conference on Information Integration and Web-based Applications & Services","volume":"357 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accelerating Structured Web Crawling without Losing Data\",\"authors\":\"B. R. El-Gamil, W. Winiwarter\",\"doi\":\"10.1145/2539150.2539203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Size of retrieved data versus crawling time formulate a well-known dilemma in the structured Web crawling community. The real challenge within this dilemma is to optimize the settings of a given wrapper to obtain maximum available data in shortest possible time. In this paper, we try to tune these settings, by introducing a threaded algorithm that guarantees accessing all available detail pages within crawling scope; and using this algorithm, we try to reduce the time consumed by the crawler, via simple adjustments of sleeping time after each detail page visit.\",\"PeriodicalId\":424918,\"journal\":{\"name\":\"International Conference on Information Integration and Web-based Applications & Services\",\"volume\":\"357 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Information Integration and Web-based Applications & Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2539150.2539203\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Integration and Web-based Applications & Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2539150.2539203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accelerating Structured Web Crawling without Losing Data
Size of retrieved data versus crawling time formulate a well-known dilemma in the structured Web crawling community. The real challenge within this dilemma is to optimize the settings of a given wrapper to obtain maximum available data in shortest possible time. In this paper, we try to tune these settings, by introducing a threaded algorithm that guarantees accessing all available detail pages within crawling scope; and using this algorithm, we try to reduce the time consumed by the crawler, via simple adjustments of sleeping time after each detail page visit.