{"title":"基于Lucene的蒙古语协同索引技术研究","authors":"Wei Dong, H. Mei, Song Yun","doi":"10.1109/ICSESS.2015.7339065","DOIUrl":null,"url":null,"abstract":"Based on deep analysis and research on the Lucene index mechanism, the paper uses memory as buffer to construct index file, combined with disk index storage, and carries on the collaborative index, forming an extensible search engine solution, which greatly alleviates the bottleneck problem of building index to search.","PeriodicalId":335871,"journal":{"name":"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Research of the Mongolian synergistic index technology based on Lucene\",\"authors\":\"Wei Dong, H. Mei, Song Yun\",\"doi\":\"10.1109/ICSESS.2015.7339065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on deep analysis and research on the Lucene index mechanism, the paper uses memory as buffer to construct index file, combined with disk index storage, and carries on the collaborative index, forming an extensible search engine solution, which greatly alleviates the bottleneck problem of building index to search.\",\"PeriodicalId\":335871,\"journal\":{\"name\":\"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2015.7339065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2015.7339065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of the Mongolian synergistic index technology based on Lucene
Based on deep analysis and research on the Lucene index mechanism, the paper uses memory as buffer to construct index file, combined with disk index storage, and carries on the collaborative index, forming an extensible search engine solution, which greatly alleviates the bottleneck problem of building index to search.