Luca Rossetto, Matthias Baumgartner, Narges Ashena, Florian Ruosch, Romana Pernischová, A. Bernstein
{"title":"LifeGraph: A Knowledge Graph for Lifelogs","authors":"Luca Rossetto, Matthias Baumgartner, Narges Ashena, Florian Ruosch, Romana Pernischová, A. Bernstein","doi":"10.1145/3379172.3391717","DOIUrl":null,"url":null,"abstract":"The data produced by efforts such as life logging is commonly multi modal and can have manifold interrelations with itself as well as external information. Representing this data in such a way that these rich relations as well as all the different sources can be leveraged is a non-trivial undertaking. In this paper, we present the first iteration of LifeGraph, a Knowledge Graph for lifelogging data. LifeGraph aims at not only capturing all aspects of the data contained in a lifelog but also linking them to external, static knowledge bases in order to put the log as a whole as well as its individual entries into a broader context. In the Lifelog Search Challenge 2020, we show a first proof-of-concept implementation of LifeGraph as well as a retrieval system prototype which utilizes it to search the log for specific events.","PeriodicalId":340585,"journal":{"name":"Proceedings of the Third Annual Workshop on Lifelog Search Challenge","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Third Annual Workshop on Lifelog Search Challenge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3379172.3391717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
The data produced by efforts such as life logging is commonly multi modal and can have manifold interrelations with itself as well as external information. Representing this data in such a way that these rich relations as well as all the different sources can be leveraged is a non-trivial undertaking. In this paper, we present the first iteration of LifeGraph, a Knowledge Graph for lifelogging data. LifeGraph aims at not only capturing all aspects of the data contained in a lifelog but also linking them to external, static knowledge bases in order to put the log as a whole as well as its individual entries into a broader context. In the Lifelog Search Challenge 2020, we show a first proof-of-concept implementation of LifeGraph as well as a retrieval system prototype which utilizes it to search the log for specific events.