An Ontology Representation Language for Multimedia Event Applications
| Autor: | Santanu Chaudhury, Brejesh Lall, Nisha Pahal |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Multimedia
Computer Networks and Communications Computer science Event (computing) Context (language use) Ontology (information science) computer.software_genre Domain (software engineering) News aggregator Multimedia Web Ontology Language Domain of discourse computer Software Information Systems Meaning (linguistics) |
| Zdroj: | Journal of Web Engineering. |
| ISSN: | 1544-5976 1540-9589 |
| Popis: | This paper presents formalization of a new Multimedia Web Ontology Language (E-MOWL) to handle events with media depictions. The temporal, spatial and entity aspects that are implicitly linked to an event are represented through this language to model the context of events. The already existing Multimedia Web Ontology Language (MOWL) can be leveraged for perceptual modelling of a domain, where the concepts manifest into media patterns in the multimedia document and helps in semantic processing of the contents. The language E-MOWL provides a rich method for representing knowledge corresponding to a specific domain wherein the context specifies the intended meaning of each element of the domain of discourse; an element in different context may correspond to different functional role. The context information associated with an event ties the audiovisual data with event related aspects. All these aspects when considered altogether provide the evidence and contribute towards recognizing an event from multimedia documents. The language also enables reasoning with the uncertainty associated with the events and is organized in the form of Bayesian Network (BN). The media items that are semantically relevant can be assimilated together on the basis of their association with events. We have demonstrated the efficacy of our approach by utilizing an ontology for the entertainment category in news domain to offer an application \textit{news aggregation} and event-based book recommendations. |
| Databáze: | OpenAIRE |
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