Formalizing Multimedia Interpretation based on Abduction over Description Logic Aboxes

Sofia Espinosa Peraldi; Atila Kaya; Ralf Möller

Formalizing Multimedia Interpretation based on Abduction over Description Logic Aboxes

Sofia Espinosa Peraldi, Atila Kaya, Ralf Möller

Institute of Information Systems

Hamburg University of Technology

14 Citations (Scopus)

Abstract

The paper describes how interpretations of multimedia documents can be formally derived using abduction over domain knowledge represented in an ontology. The approach uses an expressive ontology specification language, namely description logics in combination with logic programming rules, and formalizes the multimedia interpretation process using a combined abduction and deduction operation. We describe how the observables as well as the space of abducibles can be formally defined. The approach is evaluated using examples from text processing, but can also be applied to interpret content in other modalities.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	477
Number of pages	12
ISSN	1613-0073
Publication status	Published - 01.12.2009
Event	22nd International Workshop on Description Logics - Oxford, United Kingdom Duration: 27.07.2009 → 30.07.2009 Conference number: 95130

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

Cite this

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AU - Kaya, Atila

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N2 - The paper describes how interpretations of multimedia documents can be formally derived using abduction over domain knowledge represented in an ontology. The approach uses an expressive ontology specification language, namely description logics in combination with logic programming rules, and formalizes the multimedia interpretation process using a combined abduction and deduction operation. We describe how the observables as well as the space of abducibles can be formally defined. The approach is evaluated using examples from text processing, but can also be applied to interpret content in other modalities.

AB - The paper describes how interpretations of multimedia documents can be formally derived using abduction over domain knowledge represented in an ontology. The approach uses an expressive ontology specification language, namely description logics in combination with logic programming rules, and formalizes the multimedia interpretation process using a combined abduction and deduction operation. We describe how the observables as well as the space of abducibles can be formally defined. The approach is evaluated using examples from text processing, but can also be applied to interpret content in other modalities.

UR - https://www.scopus.com/pages/publications/84872980261

UR - https://www.researchgate.net/publication/220957143_Formalizing_Multimedia_Interpretation_based_on_Abduction_over_Description_Logic_Aboxes

M3 - Conference Articles in Journals

SN - 1613-0073

VL - 477

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 22nd International Workshop on Description Logics <br/>

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ER -

Formalizing Multimedia Interpretation based on Abduction over Description Logic Aboxes

Abstract

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Probabilistic preference measures for knowledge-based scene interpretation

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Formalizing Multimedia Interpretation based on Abduction over Description Logic Aboxes

Abstract

UN SDGs

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Probabilistic preference measures for knowledge-based scene interpretation

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