{"title":"LifeMon:基于mongodb的生活日志检索原型","authors":"Alexander Christian Faisst, B. Jónsson","doi":"10.1145/3463948.3469066","DOIUrl":null,"url":null,"abstract":"We present LifeMon, a new lifelog retrieval prototype targeting LSC. LifeMon is based around the MongoDB document store, which is one of a host of scalable NoSQL systems developed over the last two decades, with a semi-structured data model that seems well matched with lifelog requirements. Preliminary results indicate that the system is efficient and that novice users can successfully use it to solve some LSC tasks.","PeriodicalId":150532,"journal":{"name":"Proceedings of the 4th Annual on Lifelog Search Challenge","volume":"147 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"LifeMon: A MongoDB-Based Lifelog Retrieval Prototype\",\"authors\":\"Alexander Christian Faisst, B. Jónsson\",\"doi\":\"10.1145/3463948.3469066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present LifeMon, a new lifelog retrieval prototype targeting LSC. LifeMon is based around the MongoDB document store, which is one of a host of scalable NoSQL systems developed over the last two decades, with a semi-structured data model that seems well matched with lifelog requirements. Preliminary results indicate that the system is efficient and that novice users can successfully use it to solve some LSC tasks.\",\"PeriodicalId\":150532,\"journal\":{\"name\":\"Proceedings of the 4th Annual on Lifelog Search Challenge\",\"volume\":\"147 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th Annual on Lifelog Search Challenge\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3463948.3469066\",\"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 4th Annual on Lifelog Search Challenge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3463948.3469066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LifeMon: A MongoDB-Based Lifelog Retrieval Prototype
We present LifeMon, a new lifelog retrieval prototype targeting LSC. LifeMon is based around the MongoDB document store, which is one of a host of scalable NoSQL systems developed over the last two decades, with a semi-structured data model that seems well matched with lifelog requirements. Preliminary results indicate that the system is efficient and that novice users can successfully use it to solve some LSC tasks.
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