A Semantic Web Approach to Low-Level Features in Images

Miguel B. Alves; Carlos Viegas Damásio; Nuno Manuel Robalo Correia

doi:10.1145/2976796.2988176

A Semantic Web Approach to Low-Level Features in Images

Miguel B. Alves, Carlos Viegas Damásio, Nuno Manuel Robalo Correia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We present a Semantic Web based approach that meets the requirements for images retrieval based on low-level features. For that, we developed a prototypical implementation using a Semantic Web framework, linking open data ontologies and image processing libraries. We created an ontology to support the low-level features data of images. Furthermore, we created semantic rules to define concepts based on lowlevel features. We show how the different mechanisms of the Semantic Web may help multimedia management, both for storage and in retrieval tasks. © 2016 ACM.

Original language	English
Title of host publication	Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web
Subtitle of host publication	WebMedia'16
Publisher	ACM - Association for Computing Machinery
Pages	195-198
ISBN (Print)	978-1-4503-4512-5
DOIs	https://doi.org/10.1145/2976796.2988176
Publication status	Published - Nov 2016

Keywords

Digital storage
Image processing
Information retrieval
Semantic Web

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10.1145/2976796.2988176Licence: Unspecified

Cite this

@inproceedings{7eab9f16c7a54439ab55b2d043c23049,

title = "A Semantic Web Approach to Low-Level Features in Images",

abstract = "We present a Semantic Web based approach that meets the requirements for images retrieval based on low-level features. For that, we developed a prototypical implementation using a Semantic Web framework, linking open data ontologies and image processing libraries. We created an ontology to support the low-level features data of images. Furthermore, we created semantic rules to define concepts based on lowlevel features. We show how the different mechanisms of the Semantic Web may help multimedia management, both for storage and in retrieval tasks. {\textcopyright} 2016 ACM.",

keywords = " Digital storage, Image processing, Information retrieval, Semantic Web",

author = "Alves, {Miguel B.} and {Viegas Dam{\'a}sio}, Carlos and Correia, {Nuno Manuel Robalo}",

note = "Sem PDF conforme despacho.",

year = "2016",

month = nov,

doi = "10.1145/2976796.2988176",

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A Semantic Web Approach to Low-Level Features in Images. / Alves, Miguel B.; Viegas Damásio, Carlos ; Correia, Nuno Manuel Robalo.
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web: WebMedia'16. ACM - Association for Computing Machinery, 2016. p. 195-198.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Semantic Web Approach to Low-Level Features in Images

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AU - Viegas Damásio, Carlos

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Y1 - 2016/11

N2 - We present a Semantic Web based approach that meets the requirements for images retrieval based on low-level features. For that, we developed a prototypical implementation using a Semantic Web framework, linking open data ontologies and image processing libraries. We created an ontology to support the low-level features data of images. Furthermore, we created semantic rules to define concepts based on lowlevel features. We show how the different mechanisms of the Semantic Web may help multimedia management, both for storage and in retrieval tasks. © 2016 ACM.

AB - We present a Semantic Web based approach that meets the requirements for images retrieval based on low-level features. For that, we developed a prototypical implementation using a Semantic Web framework, linking open data ontologies and image processing libraries. We created an ontology to support the low-level features data of images. Furthermore, we created semantic rules to define concepts based on lowlevel features. We show how the different mechanisms of the Semantic Web may help multimedia management, both for storage and in retrieval tasks. © 2016 ACM.

KW - Digital storage

KW - Image processing

KW - Information retrieval

KW - Semantic Web

U2 - 10.1145/2976796.2988176

DO - 10.1145/2976796.2988176

M3 - Conference contribution

SN - 978-1-4503-4512-5

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EP - 198

BT - Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web

PB - ACM - Association for Computing Machinery

ER -

A Semantic Web Approach to Low-Level Features in Images

Abstract

Keywords

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