Explainable spatiotemporal reasoning for geospatial intelligence applications

Duckham, Matt; Gabela, Jelena; Kealy, Allison; Khan, Mustafizur; Legg, Jonathan; Moran, Bill; Rumi, Shakila Khan; Salim, Flora D.; Sharmeen, Shaila; Tao, Yaguang; Trentelman, Kerry; Vasardani, Maria

doi:10.1111/tgis.12939

Cited by 2 publications

(1 citation statement)

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“…Chan et al [39] showed that object motion could be recognized from low-level video information by mapping vocabulary and object motion using an ontology mapping technique. Duckham et al [40] designed and implemented a prototype of an automated spatial reasoning system for geospatial information applications called NEXUS and showed that it could perform a variety of spatio-temporal queries and also explain why it reached the conclusions it did.…”

Section: Related Ontologies and Studiesmentioning

confidence: 99%

An Ontology for Spatio-Temporal Media Management and an Interactive Application

Sone

Shin

Atarashi³

et al. 2023

Future Internet

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In addition to traditional viewing media, metadata that record the physical space from multiple perspectives will become extremely important in realizing interactive applications such as Virtual Reality (VR) and Augmented Reality (AR). This paper proposes the Software Defined Media (SDM) Ontology designed to describe spatio-temporal media and the systems that handle them comprehensively. Spatio-temporal media refers to video, audio, and various sensor values recorded together with time and location information. The SDM Ontology can flexibly and precisely represent spatio-temporal media, equipment, and functions that record, process, edit, and play them, as well as related semantic information. In addition, we recorded classical and jazz concerts using many video cameras and audio microphones, and then processed and edited the video and audio data with related metadata. Then, we created a dataset using the SDM Ontology and published it as linked open data (LOD). Furthermore, we developed “Web3602”, an application that enables users to interactively view and experience 360∘ video and spatial acoustic sounds by referring to this dataset. We conducted a subjective evaluation by using a user questionnaire. Web3602 is a data-driven web application that obtains video and audio data and related metadata by querying the dataset.

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Section: Related Ontologies and Studiesmentioning

confidence: 99%