Susumu Akamine, Yoshikiyo Kato, Daisuke Kawahara, Keiji Shinzato, Kentaro Inui, S. Kurohashi, Y. Kidawara
{"title":"开发大型网络爬虫和搜索引擎基础设施","authors":"Susumu Akamine, Yoshikiyo Kato, Daisuke Kawahara, Keiji Shinzato, Kentaro Inui, S. Kurohashi, Y. Kidawara","doi":"10.1145/1667780.1667805","DOIUrl":null,"url":null,"abstract":"This paper reports the ongoing development of a large-scale Web crawler and search engine infrastructure at National Institute of Information and Communications Technology. This infrastructure has the following characteristics: (1) It collects one billion Japanese Web pages while keeping them up-to-date. (2) It selects 100 million pages from among the collected pages and converts them into a standard data format to store the results of morphological analysis, dependency parsing, and synonym augmentation. (3) The selected set of pages is searchable and accessible to the users. (4) The scalability of the system is achieved by using a large-scale cluster machine for distributed data processing.","PeriodicalId":103128,"journal":{"name":"Proceedings of the 3rd International Universal Communication Symposium","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Development of a large-scale web crawler and search engine infrastructure\",\"authors\":\"Susumu Akamine, Yoshikiyo Kato, Daisuke Kawahara, Keiji Shinzato, Kentaro Inui, S. Kurohashi, Y. Kidawara\",\"doi\":\"10.1145/1667780.1667805\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reports the ongoing development of a large-scale Web crawler and search engine infrastructure at National Institute of Information and Communications Technology. This infrastructure has the following characteristics: (1) It collects one billion Japanese Web pages while keeping them up-to-date. (2) It selects 100 million pages from among the collected pages and converts them into a standard data format to store the results of morphological analysis, dependency parsing, and synonym augmentation. (3) The selected set of pages is searchable and accessible to the users. (4) The scalability of the system is achieved by using a large-scale cluster machine for distributed data processing.\",\"PeriodicalId\":103128,\"journal\":{\"name\":\"Proceedings of the 3rd International Universal Communication Symposium\",\"volume\":\"136 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Universal Communication Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1667780.1667805\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Universal Communication Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1667780.1667805","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of a large-scale web crawler and search engine infrastructure
This paper reports the ongoing development of a large-scale Web crawler and search engine infrastructure at National Institute of Information and Communications Technology. This infrastructure has the following characteristics: (1) It collects one billion Japanese Web pages while keeping them up-to-date. (2) It selects 100 million pages from among the collected pages and converts them into a standard data format to store the results of morphological analysis, dependency parsing, and synonym augmentation. (3) The selected set of pages is searchable and accessible to the users. (4) The scalability of the system is achieved by using a large-scale cluster machine for distributed data processing.