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

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › 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.

Originalsprog	Engelsk
Titel	LSC '21: Proceedings of the 4th Annual on Lifelog Search Challenge
Antal sider	6
Udgivelsessted	Taipei, Taiwan (virtual)
Forlag	Association for Computing Machinery
Publikationsdato	aug. 2021
Sider	75-80
DOI	https://doi.org/10.1145/3463948.3469066 https://doi.org/10.1145/3463948.3469066
Status	Udgivet - aug. 2021
Begivenhed	International Conference on Multimedia Retrieval - Taipei , Taiwan Varighed: 21 aug. 2021 → 24 aug. 2021

Konference

Konference	International Conference on Multimedia Retrieval
Land/Område	Taiwan
By	Taipei
Periode	21/08/2021 → 24/08/2021

Emneord

LifeMon
Lifelog Retrieval
NoSQL
MongoDB
Semi-Structured Data Model

Adgang til dokumentet

LifeMon__LSC_2021Indsendt manuskript, 5,33 MB

Citationsformater

@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. i LSC '21: Proceedings of the 4th Annual on Lifelog Search Challenge. Association for Computing Machinery, Taipei, Taiwan (virtual), s. 75-80, International Conference on Multimedia Retrieval, Taipei , Taiwan, 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. s. 75-80.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - LifeMon: A MongoDB-Based Lifelog Retrieval Prototype

AU - Faisst, Alexander Christian

AU - Jónsson, Björn Thór

PY - 2021/8

Y1 - 2021/8

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

Konference

Emneord

Adgang til dokumentet

Fingeraftryk

Citationsformater