LifeMon: A MongoDB-Based Lifelog Retrieval Prototype

Alexander Christian Faisst; Björn Thór Jónsson

doi:10.1145/3463948.3469066

LifeMon: A MongoDB-Based Lifelog Retrieval Prototype

Alexander Christian Faisst
, Björn Thór Jónsson

Data-intensive Systems and Applications

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

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.

Original language	English
Title of host publication	LSC '21: Proceedings of the 4th Annual on Lifelog Search Challenge
Number of pages	6
Place of Publication	Taipei, Taiwan (virtual)
Publisher	Association for Computing Machinery
Publication date	Aug 2021
Pages	75-80
DOIs	https://doi.org/10.1145/3463948.3469066 https://doi.org/10.1145/3463948.3469066
Publication status	Published - Aug 2021
Event	International Conference on Multimedia Retrieval - Taipei , Taiwan, Province of China Duration: 21 Aug 2021 → 24 Aug 2021

Conference

Conference	International Conference on Multimedia Retrieval
Country/Territory	Taiwan, Province of China
City	Taipei
Period	21/08/2021 → 24/08/2021

Keywords

LifeMon
Lifelog Retrieval
NoSQL
MongoDB
Semi-Structured Data Model

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LifeMon__LSC_2021Submitted manuscript, 5.33 MB

Cite this

@inproceedings{881b352120fe4787a543c257783c51e0,

title = "LifeMon: A MongoDB-Based Lifelog Retrieval Prototype",

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.",

keywords = "LifeMon, Lifelog Retrieval, NoSQL, MongoDB, Semi-Structured Data Model, LifeMon, Lifelog Retrieval, NoSQL, MongoDB, Semi-Structured Data Model",

author = "Faisst, \{Alexander Christian\} and J{\'o}nsson, \{Bj{\"o}rn Th{\'o}r\}",

year = "2021",

month = aug,

doi = "10.1145/3463948.3469066",

language = "English",

pages = "75--80",

booktitle = "LSC '21: Proceedings of the 4th Annual on Lifelog Search Challenge",

publisher = "Association for Computing Machinery",

address = "United States",

note = "International Conference on Multimedia Retrieval ; Conference date: 21-08-2021 Through 24-08-2021",

}

Faisst, AC & Jónsson, BT 2021, LifeMon: A MongoDB-Based Lifelog Retrieval Prototype. in LSC '21: Proceedings of the 4th Annual on Lifelog Search Challenge. Association for Computing Machinery, Taipei, Taiwan (virtual), pp. 75-80, International Conference on Multimedia Retrieval, Taipei , Taiwan, Province of China, 21/08/2021. https://doi.org/10.1145/3463948.3469066, https://doi.org/10.1145/3463948.3469066

LifeMon: A MongoDB-Based Lifelog Retrieval Prototype. / Faisst, Alexander Christian; Jónsson, Björn Thór.
LSC '21: Proceedings of the 4th Annual on Lifelog Search Challenge. Taipei, Taiwan (virtual): Association for Computing Machinery, 2021. p. 75-80.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - LifeMon: A MongoDB-Based Lifelog Retrieval Prototype

AU - Faisst, Alexander Christian

AU - Jónsson, Björn Thór

PY - 2021/8

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N2 - 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.

AB - 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.

KW - LifeMon

KW - Lifelog Retrieval

KW - NoSQL

KW - MongoDB

KW - Semi-Structured Data Model

KW - LifeMon

KW - Lifelog Retrieval

KW - NoSQL

KW - MongoDB

KW - Semi-Structured Data Model

U2 - 10.1145/3463948.3469066

DO - 10.1145/3463948.3469066

M3 - Article in proceedings

SP - 75

EP - 80

BT - LSC '21: Proceedings of the 4th Annual on Lifelog Search Challenge

PB - Association for Computing Machinery

CY - Taipei, Taiwan (virtual)

T2 - International Conference on Multimedia Retrieval

Y2 - 21 August 2021 through 24 August 2021

ER -

LifeMon: A MongoDB-Based Lifelog Retrieval Prototype

Abstract

Conference

Keywords

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