A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets

Leslie Sikos

doi:10.1007/978-3-662-49381-6_1

A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets

Leslie Sikos

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

10 Citations (Scopus)

Abstract

Multimedia reasoning, which is suitable for, among others, multimedia content analysis and high-level video scene interpretation, relies on the formal and comprehensive conceptualization of the represented knowledge domain. However, most multimedia ontologies are not exhaustive in terms of role definitions, and do not incorporate complex role inclusions and role interdependencies. In fact, most multimedia ontologies do not have a role box at all, and implement only a basic subset of the available logical constructors. Consequently, their application in multimedia reasoning is limited. To address the above issues, VidOnt, the very first multimedia ontology with SROIQ^D expressivity and a DL-safe ruleset has been introduced for next-generation multimedia reasoning. In contrast to the common practice, the formal grounding has been set in one of the most expressive description logics, and the ontology validated with industry-leading reasoners, namely HermiT and FaCT++. This paper also presents best practices for developing multimedia ontologies, based on my ontology engineering approach.

Original language	English
Title of host publication	Intelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Proceedings
Editors	Ngoc Thanh Nguyen, Bogdan Trawinski, Tzung-Pei Hong, Hamido Fujita
Publisher	Springer Nature
Pages	3-12
Number of pages	10
ISBN (Print)	9783662493809
DOIs	https://doi.org/10.1007/978-3-662-49381-6_1
Publication status	Published - 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9621
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Knowledge representation
Linked Open Data
MPEG-7
Ontology
OWL
Video metadata
Video retrieval

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10.1007/978-3-662-49381-6_1

https://rdcu.be/dA9gBLicence: In Copyright

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Sikos, L. (2016). A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets. In N. T. Nguyen, B. Trawinski, T.-P. Hong, & H. Fujita (Eds.), Intelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Proceedings (pp. 3-12). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9621). Springer Nature. https://doi.org/10.1007/978-3-662-49381-6_1

Sikos, Leslie. / A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets. Intelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Proceedings. editor / Ngoc Thanh Nguyen ; Bogdan Trawinski ; Tzung-Pei Hong ; Hamido Fujita. Springer Nature, 2016. pp. 3-12 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets",

abstract = "Multimedia reasoning, which is suitable for, among others, multimedia content analysis and high-level video scene interpretation, relies on the formal and comprehensive conceptualization of the represented knowledge domain. However, most multimedia ontologies are not exhaustive in terms of role definitions, and do not incorporate complex role inclusions and role interdependencies. In fact, most multimedia ontologies do not have a role box at all, and implement only a basic subset of the available logical constructors. Consequently, their application in multimedia reasoning is limited. To address the above issues, VidOnt, the very first multimedia ontology with SROIQD expressivity and a DL-safe ruleset has been introduced for next-generation multimedia reasoning. In contrast to the common practice, the formal grounding has been set in one of the most expressive description logics, and the ontology validated with industry-leading reasoners, namely HermiT and FaCT++. This paper also presents best practices for developing multimedia ontologies, based on my ontology engineering approach.",

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author = "Leslie Sikos",

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language = "English",

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Sikos, L 2016, A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets. in NT Nguyen, B Trawinski, T-P Hong & H Fujita (eds), Intelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9621, Springer Nature, pp. 3-12. https://doi.org/10.1007/978-3-662-49381-6_1

A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets. / Sikos, Leslie.
Intelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Proceedings. ed. / Ngoc Thanh Nguyen; Bogdan Trawinski; Tzung-Pei Hong; Hamido Fujita. Springer Nature, 2016. p. 3-12 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9621).

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

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T1 - A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets

AU - Sikos, Leslie

PY - 2016

Y1 - 2016

N2 - Multimedia reasoning, which is suitable for, among others, multimedia content analysis and high-level video scene interpretation, relies on the formal and comprehensive conceptualization of the represented knowledge domain. However, most multimedia ontologies are not exhaustive in terms of role definitions, and do not incorporate complex role inclusions and role interdependencies. In fact, most multimedia ontologies do not have a role box at all, and implement only a basic subset of the available logical constructors. Consequently, their application in multimedia reasoning is limited. To address the above issues, VidOnt, the very first multimedia ontology with SROIQD expressivity and a DL-safe ruleset has been introduced for next-generation multimedia reasoning. In contrast to the common practice, the formal grounding has been set in one of the most expressive description logics, and the ontology validated with industry-leading reasoners, namely HermiT and FaCT++. This paper also presents best practices for developing multimedia ontologies, based on my ontology engineering approach.

AB - Multimedia reasoning, which is suitable for, among others, multimedia content analysis and high-level video scene interpretation, relies on the formal and comprehensive conceptualization of the represented knowledge domain. However, most multimedia ontologies are not exhaustive in terms of role definitions, and do not incorporate complex role inclusions and role interdependencies. In fact, most multimedia ontologies do not have a role box at all, and implement only a basic subset of the available logical constructors. Consequently, their application in multimedia reasoning is limited. To address the above issues, VidOnt, the very first multimedia ontology with SROIQD expressivity and a DL-safe ruleset has been introduced for next-generation multimedia reasoning. In contrast to the common practice, the formal grounding has been set in one of the most expressive description logics, and the ontology validated with industry-leading reasoners, namely HermiT and FaCT++. This paper also presents best practices for developing multimedia ontologies, based on my ontology engineering approach.

KW - Knowledge representation

KW - Linked Open Data

KW - MPEG-7

KW - Ontology

KW - OWL

KW - Video metadata

KW - Video retrieval

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M3 - Conference contribution

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 3

EP - 12

BT - Intelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Proceedings

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A2 - Trawinski, Bogdan

A2 - Hong, Tzung-Pei

A2 - Fujita, Hamido

PB - Springer Nature

ER -

Sikos L. A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets. In Nguyen NT, Trawinski B, Hong TP, Fujita H, editors, Intelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Proceedings. Springer Nature. 2016. p. 3-12. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-662-49381-6_1

A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets

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