MOWL

Author:

Mallik Anupama1,Ghosh Hiranmay2,Chaudhury Santanu1,Harit Gaurav3

Affiliation:

1. Indian Institute of Technology, Delhi, India

2. Tata consultancy Services, Gurgaon, India

3. Indian Institute of Technology, Jodhpur, India

Abstract

Several multimedia applications need to reason with concepts and their media properties in specific domain contexts. Media properties of concepts exhibit some unique characteristics that cannot be dealt with conceptual modeling schemes followed in the existing ontology representation and reasoning schemes. We have proposed a new perceptual modeling technique for reasoning with media properties observed in multimedia instances and the latent concepts. Our knowledge representation scheme uses a causal model of the world where concepts manifest in media properties with uncertainties. We introduce a probabilistic reasoning scheme for belief propagation across domain concepts through observation of media properties. In order to support the perceptual modeling and reasoning paradigm, we propose a new ontology language, Multimedia Web Ontology Language (MOWL). Our primary contribution in this article is to establish the need for the new ontology language and to introduce the semantics of its novel language constructs. We establish the generality of our approach with two disperate knowledge-intensive applications involving reasoning with media properties of concepts.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Ontology for Spatio-Temporal Media Management and an Interactive Application;Future Internet;2023-06-23

2. Digitizing Intangible Cultural Heritage Embodied: State of the Art;Journal on Computing and Cultural Heritage;2022-09-16

3. Accomplishment of Multimedia Ontology for the Tunisian Archaeology Field;Proceedings of Fifth International Congress on Information and Communication Technology;2020-10-01

4. References;Computational Models for Cognitive Vision;2020-07-06

5. Data of SemanticWeb as Unit of Knowledge;Journal of Web Engineering;2019

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