Department of Business Development and Technology

Semantic Search System for Real Time Occupancy

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

This paper presents an IoT enabled real time occupancy semantic search system leveraging ETSI defined context information and interface meta model standard- "Next Generation Service Interface for Linked Data" (NGSI-LD). It facilitates interoperability, integration and federation of information exchange related to spatial infrastructure among geo-distributed deployed IoT entities, different stakeholders, and process domains. This system, in the presented use case, solves the problem of adhoc booking of meetings in real time through semantic discovery of spatial data and metadata related to room occupancy and thus enables optimum utilization of spatial infrastructure in university campuses. Therefore, the proposed system has the capability to save on effort, cost and productivity in institutional spatial management contexts in the longer run and as well well provide a new enriched user experience in smart public buildings. Additionally, the system empowers different stakeholders to plan, forecast and fulfill their spatial infrastructure requirements through semantic data search analysis and real time data driven planning. The initial performance results of the system have shown quick response enabled semantic discovery of data and metadata (< 2 seconds mostly). The proposed system would be a steppingstone towards smart management of spatial infrastructure which offers scalability, federation, vendor agnostic ecosystem, seamless interoperability and integration and security by design. The proposed system provides the fundamental work for its extension and potential in relevant spatial domains of the future.
Original languageEnglish
Title of host publication2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)
Number of pages7
PublisherIEEE
Publication year2021
Pages49-55
ISBN (print)978-1-6654-2036-5
ISBN (Electronic)978-1-6654-2035-8
DOIs
Publication statusPublished - 2021
Event2021 IEEE International Conference on Internet of Things and Intelligence Systems -
Duration: 23 Nov 202124 Nov 2021

Conference

Conference2021 IEEE International Conference on Internet of Things and Intelligence Systems
Periode23/11/202124/11/2021

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ID: 231055804